Instructions to use asmaa1/videomae-base-groub21-22-finetuned-SLT-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asmaa1/videomae-base-groub21-22-finetuned-SLT-subset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="asmaa1/videomae-base-groub21-22-finetuned-SLT-subset")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("asmaa1/videomae-base-groub21-22-finetuned-SLT-subset") model = AutoModelForVideoClassification.from_pretrained("asmaa1/videomae-base-groub21-22-finetuned-SLT-subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 0
Browse files- config.json +115 -0
- preprocessor_config.json +27 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
config.json
ADDED
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@@ -0,0 +1,115 @@
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| 1 |
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{
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| 2 |
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"_name_or_path": "MCG-NJU/videomae-base",
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| 3 |
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"architectures": [
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"VideoMAEForVideoClassification"
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],
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| 6 |
+
"attention_probs_dropout_prob": 0.0,
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| 7 |
+
"decoder_hidden_size": 384,
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| 8 |
+
"decoder_intermediate_size": 1536,
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| 9 |
+
"decoder_num_attention_heads": 6,
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| 10 |
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"decoder_num_hidden_layers": 4,
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| 11 |
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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| 14 |
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"id2label": {
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| 15 |
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"0": "\u0623\u0628\u0633\u0637",
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| 16 |
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"1": "\u0623\u062a\u0648\u0645\u0627\u062a\u064a\u0643\u064a",
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| 17 |
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"2": "\u0625\u062b\u0631\u0627\u0621",
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| 18 |
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"3": "\u0625\u0631\u062b",
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| 19 |
+
"4": "\u0627\u0631\u062c\u0648\u0627\u0646\u064a",
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| 20 |
+
"5": "\u0627\u0633\u062a\u062e\u0631\u0627\u062c",
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| 21 |
+
"6": "\u0627\u0633\u062a\u062f\u0644\u0627\u0644",
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| 22 |
+
"7": "\u0627\u0633\u062a\u0639\u062f\u0627\u062f",
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| 23 |
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"8": "\u0627\u0633\u0648\u062f",
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| 24 |
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"9": "\u0627\u0633\u0648\u0631\u0629",
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| 25 |
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"10": "\u0627\u0643\u062a\u0641\u0627\u0621",
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| 26 |
+
"11": "\u0627\u0644\u0623\u0645\u0639\u0627\u0621 \u0627\u0644\u062f\u0642\u064a\u0642\u0629",
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| 27 |
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"12": "\u0627\u0644\u0627\u062d\u062a\u0631\u0627\u0645",
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| 28 |
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"13": "\u0627\u0644\u0627\u062d\u062f",
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| 29 |
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"14": "\u0627\u0644\u0628\u062d\u0631 \u0627\u0644\u0627\u0628\u064a\u0636 \u0627\u0644\u0645\u062a\u0648\u0633\u0637",
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"15": "\u0627\u0644\u0628\u062d\u0631 \u0627\u0644\u0627\u062d\u0645\u0631",
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| 31 |
+
"16": "\u0627\u0644\u0628\u062d\u0631\u064a\u0646",
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| 32 |
+
"17": "\u0627\u0644\u062c\u0645\u0639\u064a\u0629 \u0627\u0644\u0633\u0639\u0648\u062f\u064a\u0629 \u0644\u0644\u0627\u0639\u0627\u0642\u0629 \u0627\u0644\u0633\u0645\u0639\u064a\u0629",
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| 33 |
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"18": "\u0627\u0644\u062d\u0648\u0644 - \u0627\u0644\u0633\u0646\u0629",
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| 34 |
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"19": "\u0627\u0644\u0645\u0627\u0644\u0643",
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| 35 |
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"20": "\u0627\u0644\u0645\u0633\u062c\u062f \u0627\u0644\u0646\u0628\u0648\u064a",
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| 36 |
+
"21": "\u0627\u0644\u0646\u0634\u064a\u062f \u0627\u0644\u0648\u0637\u0646\u064a",
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| 37 |
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"22": "\u0628\u0627\u0635 \u0645\u062f\u0631\u0633\u0629",
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| 38 |
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"23": "\u0628\u0628\u0637\u0621",
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| 39 |
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"24": "\u062a\u0646\u0648\u0631\u0629",
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| 40 |
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"25": "\u062c\u0644\u0627\u064a\u0629",
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| 41 |
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"26": "\u062d\u0627\u0641\u0644\u0629 \u0628\u0627\u0635",
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| 42 |
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"27": "\u062e\u0645\u064a\u0633 \u0645\u0634\u064a\u0637",
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| 43 |
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"28": "\u0631\u0637\u0628",
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| 44 |
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"29": "\u0632\u0643\u0627\u0629 \u0627\u0644\u0646\u0635\u0627\u0628",
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| 45 |
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"30": "\u0633\u0641\u064a\u0631",
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| 46 |
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"31": "\u0643\u0631\u0627\u0647\u064a\u0629",
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| 47 |
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"32": "\u0645\u062a\u0623\u062e\u0631",
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| 48 |
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"33": "\u0645\u0631\u062d",
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| 49 |
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"34": "\u0645\u0633\u0627\u0621 \u0627\u0644\u062e\u064a\u0631",
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"35": "\u0645\u064a\u0644\u0627\u062f\u064a",
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"36": "\u0646\u0627\u062f\u064a \u0627\u0644\u062c\u0628\u0644\u064a\u0646",
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| 52 |
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"37": "\u0646\u0627\u062f\u064a \u0627\u0644\u0642\u0631\u0646",
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"38": "\u0647\u062c\u0631\u064a",
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"39": "\u0648\u0627\u0633\u0637\u0629"
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},
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"image_size": 224,
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| 57 |
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"\u0623\u0628\u0633\u0637": 0,
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| 61 |
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"\u0623\u062a\u0648\u0645\u0627\u062a\u064a\u0643\u064a": 1,
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| 62 |
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"\u0625\u062b\u0631\u0627\u0621": 2,
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| 63 |
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"\u0625\u0631\u062b": 3,
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| 64 |
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"\u0627\u0631\u062c\u0648\u0627\u0646\u064a": 4,
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| 65 |
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"\u0627\u0633\u062a\u062e\u0631\u0627\u062c": 5,
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| 66 |
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"\u0627\u0633\u062a\u062f\u0644\u0627\u0644": 6,
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| 67 |
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"\u0627\u0633\u062a\u0639\u062f\u0627\u062f": 7,
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| 68 |
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"\u0627\u0633\u0648\u062f": 8,
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| 69 |
+
"\u0627\u0633\u0648\u0631\u0629": 9,
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| 70 |
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"\u0627\u0643\u062a\u0641\u0627\u0621": 10,
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| 71 |
+
"\u0627\u0644\u0623\u0645\u0639\u0627\u0621 \u0627\u0644\u062f\u0642\u064a\u0642\u0629": 11,
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| 72 |
+
"\u0627\u0644\u0627\u062d\u062a\u0631\u0627\u0645": 12,
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| 73 |
+
"\u0627\u0644\u0627\u062d\u062f": 13,
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| 74 |
+
"\u0627\u0644\u0628\u062d\u0631 \u0627\u0644\u0627\u0628\u064a\u0636 \u0627\u0644\u0645\u062a\u0648\u0633\u0637": 14,
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| 75 |
+
"\u0627\u0644\u0628\u062d\u0631 \u0627\u0644\u0627\u062d\u0645\u0631": 15,
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| 76 |
+
"\u0627\u0644\u0628\u062d\u0631\u064a\u0646": 16,
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| 77 |
+
"\u0627\u0644\u062c\u0645\u0639\u064a\u0629 \u0627\u0644\u0633\u0639\u0648\u062f\u064a\u0629 \u0644\u0644\u0627\u0639\u0627\u0642\u0629 \u0627\u0644\u0633\u0645\u0639\u064a\u0629": 17,
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| 78 |
+
"\u0627\u0644\u062d\u0648\u0644 - \u0627\u0644\u0633\u0646\u0629": 18,
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| 79 |
+
"\u0627\u0644\u0645\u0627\u0644\u0643": 19,
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| 80 |
+
"\u0627\u0644\u0645\u0633\u062c\u062f \u0627\u0644\u0646\u0628\u0648\u064a": 20,
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| 81 |
+
"\u0627\u0644\u0646\u0634\u064a\u062f \u0627\u0644\u0648\u0637\u0646\u064a": 21,
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| 82 |
+
"\u0628\u0627\u0635 \u0645\u062f\u0631\u0633\u0629": 22,
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| 83 |
+
"\u0628\u0628\u0637\u0621": 23,
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| 84 |
+
"\u062a\u0646\u0648\u0631\u0629": 24,
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| 85 |
+
"\u062c\u0644\u0627\u064a\u0629": 25,
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| 86 |
+
"\u062d\u0627\u0641\u0644\u0629 \u0628\u0627\u0635": 26,
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| 87 |
+
"\u062e\u0645\u064a\u0633 \u0645\u0634\u064a\u0637": 27,
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| 88 |
+
"\u0631\u0637\u0628": 28,
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| 89 |
+
"\u0632\u0643\u0627\u0629 \u0627\u0644\u0646\u0635\u0627\u0628": 29,
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| 90 |
+
"\u0633\u0641\u064a\u0631": 30,
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| 91 |
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"\u0643\u0631\u0627\u0647\u064a\u0629": 31,
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| 92 |
+
"\u0645\u062a\u0623\u062e\u0631": 32,
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| 93 |
+
"\u0645\u0631\u062d": 33,
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| 94 |
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"\u0645\u0633\u0627\u0621 \u0627\u0644\u062e\u064a\u0631": 34,
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| 95 |
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"\u0645\u064a\u0644\u0627\u062f\u064a": 35,
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| 96 |
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"\u0646\u0627\u062f\u064a \u0627\u0644\u062c\u0628\u0644\u064a\u0646": 36,
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| 97 |
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"\u0646\u0627\u062f\u064a \u0627\u0644\u0642\u0631\u0646": 37,
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| 98 |
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"\u0647\u062c\u0631\u064a": 38,
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| 99 |
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"\u0648\u0627\u0633\u0637\u0629": 39
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| 100 |
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},
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| 101 |
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"layer_norm_eps": 1e-12,
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| 102 |
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"model_type": "videomae",
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| 103 |
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"norm_pix_loss": true,
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| 104 |
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"num_attention_heads": 12,
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| 105 |
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"num_channels": 3,
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| 106 |
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"num_frames": 16,
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| 107 |
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"num_hidden_layers": 12,
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| 108 |
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"patch_size": 16,
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| 109 |
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"problem_type": "single_label_classification",
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| 110 |
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"qkv_bias": true,
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| 111 |
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"torch_dtype": "float32",
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| 112 |
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"transformers_version": "4.33.0",
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| 113 |
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"tubelet_size": 2,
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| 114 |
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"use_mean_pooling": false
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| 115 |
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}
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preprocessor_config.json
ADDED
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{
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"crop_size": {
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"height": 224,
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"width": 224
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},
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"do_center_crop": true,
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| 7 |
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"do_normalize": true,
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| 8 |
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"do_rescale": true,
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| 9 |
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"do_resize": true,
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| 10 |
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"feature_extractor_type": "VideoMAEFeatureExtractor",
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| 11 |
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"image_mean": [
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| 12 |
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0.485,
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| 13 |
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0.456,
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| 14 |
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0.406
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| 15 |
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],
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| 16 |
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"image_processor_type": "VideoMAEImageProcessor",
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| 17 |
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"image_std": [
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| 18 |
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0.229,
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| 19 |
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0.224,
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| 20 |
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0.225
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| 21 |
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],
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| 22 |
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"resample": 2,
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| 23 |
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"rescale_factor": 0.00392156862745098,
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| 24 |
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"size": {
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| 25 |
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"shortest_edge": 224
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| 26 |
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}
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| 27 |
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}
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pytorch_model.bin
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:2671e92a5cd923521473469f54bf0a3225204f01efae55698bec2d55a9ad6a42
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| 3 |
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size 345093237
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training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:18cfb2be33a6ddc038430d53c748772dcd354b66dabe3748b5d3c8ef103f5f94
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| 3 |
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size 4091
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