Instructions to use asmaa1/videomae-base-groub23-24-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-groub23-24-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-groub23-24-finetuned-SLT-subset")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("asmaa1/videomae-base-groub23-24-finetuned-SLT-subset") model = AutoModelForVideoClassification.from_pretrained("asmaa1/videomae-base-groub23-24-finetuned-SLT-subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "MCG-NJU/videomae-base", | |
| "architectures": [ | |
| "VideoMAEForVideoClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "decoder_hidden_size": 384, | |
| "decoder_intermediate_size": 1536, | |
| "decoder_num_attention_heads": 6, | |
| "decoder_num_hidden_layers": 4, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "\u0623\u062c\u0631", | |
| "1": "\u0623\u0633\u0627\u0644\u064a\u0628", | |
| "2": "\u0623\u0644\u0641\u0629", | |
| "3": "\u0625\u062a\u0627\u062d\u0629", | |
| "4": "\u0625\u062a\u0642\u0627\u0646", | |
| "5": "\u0625\u062d\u0633\u0627\u0633", | |
| "6": "\u0625\u0639\u0644\u0627\u0646", | |
| "7": "\u0627\u0628\u062a\u0633\u0627\u0645\u0629", | |
| "8": "\u0627\u0628\u062f\u0627\u0639 \u0641\u0643\u0631\u064a", | |
| "9": "\u0627\u062a\u0643\u0627\u0621", | |
| "10": "\u0627\u062d\u062a\u064a\u0627\u062c", | |
| "11": "\u0627\u062e\u062a\u0635\u0627\u0635", | |
| "12": "\u0627\u062e\u062a\u0644\u0627\u0641 \u0627\u0644\u0627\u062c\u0646\u0627\u0633", | |
| "13": "\u0627\u062e\u0636\u0631", | |
| "14": "\u0627\u0631\u062a\u062f\u0627\u062f", | |
| "15": "\u0627\u0632\u0627\u0644\u0629", | |
| "16": "\u0627\u0633\u0637\u0648\u0644 \u062c\u0648\u064a", | |
| "17": "\u0627\u0633\u0647\u0627\u0644", | |
| "18": "\u0627\u0644\u0627\u0639\u062a\u0645\u0627\u062f \u0639\u0644\u0649 \u0627\u0644\u0630\u0627\u062a", | |
| "19": "\u0627\u0644\u0627\u063a\u062a\u0633\u0627\u0644", | |
| "20": "\u0627\u0644\u0627\u0648\u0627\u0645\u0631", | |
| "21": "\u0627\u0644\u062a\u0627\u0633\u0639", | |
| "22": "\u0627\u0644\u062a\u0632\u0627\u0645", | |
| "23": "\u0627\u0644\u062a\u0633\u0639\u0648\u0646", | |
| "24": "\u0627\u0644\u062c\u0632\u0627\u0626\u0631", | |
| "25": "\u0627\u0644\u062e\u0644\u0641", | |
| "26": "\u0627\u0644\u0633\u0627\u062f\u0633", | |
| "27": "\u0627\u0644\u0645\u0644\u0643 \u062e\u0627\u0644\u062f", | |
| "28": "\u0627\u0645\u0644\u0627\u0621", | |
| "29": "\u0627\u0646\u0641\u0646\u062a\u064a", | |
| "30": "\u062a\u0639\u064a\u064a\u0646", | |
| "31": "\u062a\u0644\u0641\u0632\u064a\u0648\u0646", | |
| "32": "\u062c\u0633\u0631", | |
| "33": "\u062f\u064a\u0633\u0645\u062a\u0631 - \u062f\u0633\u0645", | |
| "34": "\u0631\u0627\u0626\u062f \u0641\u0636\u0627\u0621", | |
| "35": "\u0635\u062d\u0641\u064a", | |
| "36": "\u0639\u0627\u062c\u0632", | |
| "37": "\u0644\u0635\u0642", | |
| "38": "\u0646\u0627\u062f\u064a \u0627\u0644\u0646\u062c\u0645\u0629", | |
| "39": "\u064a\u062a\u062c\u0647\u0645" | |
| }, | |
| "image_size": 224, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "\u0623\u062c\u0631": 0, | |
| "\u0623\u0633\u0627\u0644\u064a\u0628": 1, | |
| "\u0623\u0644\u0641\u0629": 2, | |
| "\u0625\u062a\u0627\u062d\u0629": 3, | |
| "\u0625\u062a\u0642\u0627\u0646": 4, | |
| "\u0625\u062d\u0633\u0627\u0633": 5, | |
| "\u0625\u0639\u0644\u0627\u0646": 6, | |
| "\u0627\u0628\u062a\u0633\u0627\u0645\u0629": 7, | |
| "\u0627\u0628\u062f\u0627\u0639 \u0641\u0643\u0631\u064a": 8, | |
| "\u0627\u062a\u0643\u0627\u0621": 9, | |
| "\u0627\u062d\u062a\u064a\u0627\u062c": 10, | |
| "\u0627\u062e\u062a\u0635\u0627\u0635": 11, | |
| "\u0627\u062e\u062a\u0644\u0627\u0641 \u0627\u0644\u0627\u062c\u0646\u0627\u0633": 12, | |
| "\u0627\u062e\u0636\u0631": 13, | |
| "\u0627\u0631\u062a\u062f\u0627\u062f": 14, | |
| "\u0627\u0632\u0627\u0644\u0629": 15, | |
| "\u0627\u0633\u0637\u0648\u0644 \u062c\u0648\u064a": 16, | |
| "\u0627\u0633\u0647\u0627\u0644": 17, | |
| "\u0627\u0644\u0627\u0639\u062a\u0645\u0627\u062f \u0639\u0644\u0649 \u0627\u0644\u0630\u0627\u062a": 18, | |
| "\u0627\u0644\u0627\u063a\u062a\u0633\u0627\u0644": 19, | |
| "\u0627\u0644\u0627\u0648\u0627\u0645\u0631": 20, | |
| "\u0627\u0644\u062a\u0627\u0633\u0639": 21, | |
| "\u0627\u0644\u062a\u0632\u0627\u0645": 22, | |
| "\u0627\u0644\u062a\u0633\u0639\u0648\u0646": 23, | |
| "\u0627\u0644\u062c\u0632\u0627\u0626\u0631": 24, | |
| "\u0627\u0644\u062e\u0644\u0641": 25, | |
| "\u0627\u0644\u0633\u0627\u062f\u0633": 26, | |
| "\u0627\u0644\u0645\u0644\u0643 \u062e\u0627\u0644\u062f": 27, | |
| "\u0627\u0645\u0644\u0627\u0621": 28, | |
| "\u0627\u0646\u0641\u0646\u062a\u064a": 29, | |
| "\u062a\u0639\u064a\u064a\u0646": 30, | |
| "\u062a\u0644\u0641\u0632\u064a\u0648\u0646": 31, | |
| "\u062c\u0633\u0631": 32, | |
| "\u062f\u064a\u0633\u0645\u062a\u0631 - \u062f\u0633\u0645": 33, | |
| "\u0631\u0627\u0626\u062f \u0641\u0636\u0627\u0621": 34, | |
| "\u0635\u062d\u0641\u064a": 35, | |
| "\u0639\u0627\u062c\u0632": 36, | |
| "\u0644\u0635\u0642": 37, | |
| "\u0646\u0627\u062f\u064a \u0627\u0644\u0646\u062c\u0645\u0629": 38, | |
| "\u064a\u062a\u062c\u0647\u0645": 39 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "model_type": "videomae", | |
| "norm_pix_loss": true, | |
| "num_attention_heads": 12, | |
| "num_channels": 3, | |
| "num_frames": 16, | |
| "num_hidden_layers": 12, | |
| "patch_size": 16, | |
| "problem_type": "single_label_classification", | |
| "qkv_bias": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.33.0", | |
| "tubelet_size": 2, | |
| "use_mean_pooling": false | |
| } | |