Instructions to use andreas122001/bloomz-560m-academic-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreas122001/bloomz-560m-academic-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andreas122001/bloomz-560m-academic-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andreas122001/bloomz-560m-academic-detector") model = AutoModelForSequenceClassification.from_pretrained("andreas122001/bloomz-560m-academic-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
6fc382a
1
Parent(s): 8554723
Upload 10 files
Browse files- .gitattributes +1 -0
- config.json +42 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +6 -0
- tokenizer.json +3 -0
- tokenizer_config.json +12 -0
- trainer_state.json +922 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
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@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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config.json
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{
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"_name_or_path": "bigscience/bloomz-560m",
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"apply_residual_connection_post_layernorm": false,
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"architectures": [
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"BloomForSequenceClassification"
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],
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"attention_dropout": 0.0,
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"attention_softmax_in_fp32": true,
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"bias_dropout_fusion": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_dropout": 0.0,
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"hidden_size": 1024,
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"id2label": {
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"0": "human-produced",
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"1": "machine-generated"
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},
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"initializer_range": 0.02,
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"label2id": {
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"human-produced": 0,
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"machine-generated": 1
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},
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"layer_norm_epsilon": 1e-05,
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"masked_softmax_fusion": true,
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"model_type": "bloom",
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"n_head": 16,
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"n_inner": null,
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"n_layer": 24,
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"offset_alibi": 100,
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"pad_token_id": 3,
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"pretraining_tp": 1,
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"problem_type": "single_label_classification",
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"seq_length": 2048,
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"skip_bias_add": true,
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"skip_bias_add_qkv": false,
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"slow_but_exact": false,
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"torch_dtype": "float32",
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"transformers_version": "4.26.1",
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"unk_token_id": 0,
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"use_cache": true,
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"vocab_size": 250880
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}
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:e61ea2e45edfeec896776af115dabcc98703ee8cc296de762c6e7c1a1defc783
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size 4473979569
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 2236965925
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size 14575
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 627
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"eos_token": "</s>",
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"pad_token": "<pad>",
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"unk_token": "<unk>"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"bos_token": "<s>",
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"eos_token": "</s>",
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"model_max_length": 1000000000000000019884624838656,
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"name_or_path": "bigscience/bloomz-560m",
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"pad_token": "<pad>",
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"padding_side": "left",
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"special_tokens_map_file": null,
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"tokenizer_class": "BloomTokenizer",
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"unk_token": "<unk>"
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}
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trainer_state.json
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