Instructions to use nlpaueb/bert-base-uncased-contracts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpaueb/bert-base-uncased-contracts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nlpaueb/bert-base-uncased-contracts")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nlpaueb/bert-base-uncased-contracts", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 063c4224ada1da8595d6cef719e14ac1ffbdf444dca88e4a6f4aea1a70ee2525
- Size of remote file:
- 438 MB
- SHA256:
- b73cfd6ab4c17aa461a06d8554a3276687d1f4d8c670350bd87a4c00f9e6b282
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