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
- Xet hash:
- b2d9a866af1c5a97c52d22ad5f49793f35875c83d2c35c2457d837e82bb5d86e
- Size of remote file:
- 115 MB
- SHA256:
- b57224b64012a94b48cbb5f95771376f9a7becd00b78e4788ba23d8bec99521f
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