Instructions to use muhtasham/bert-small-finetuned-legal-contracts-larger4010 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muhtasham/bert-small-finetuned-legal-contracts-larger4010 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="muhtasham/bert-small-finetuned-legal-contracts-larger4010")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("muhtasham/bert-small-finetuned-legal-contracts-larger4010") model = AutoModelForMaskedLM.from_pretrained("muhtasham/bert-small-finetuned-legal-contracts-larger4010") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "google/bert_uncased_L-4_H-512_A-8",
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"architectures": [
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"BertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 512,
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"initializer_range": 0.02,
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"intermediate_size": 2048,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 8,
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"num_hidden_layers": 4,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.21.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e13b5b55459f0f50a62197952ba88246b613414e1095c67b6827ffbf20a0a243
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size 115209284
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runs/Aug15_22-21-59_712a42c6985f/1660602135.1479368/events.out.tfevents.1660602135.712a42c6985f.79.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:b3ea234863748e2ebfb1f2631ba4b59de85025b2189cd0f5d706ca5c3f81de4f
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size 5496
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runs/Aug15_22-21-59_712a42c6985f/events.out.tfevents.1660602135.712a42c6985f.79.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:c9efe7b1dfa263a6ebbf5ccd1bc146a4f1315702236a3ed3e8ec562f32d940cf
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size 3823
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:acc4e7a15db62440c90c85053c861432de8c79300b624bb9582aa937ac895ca5
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size 3375
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