Instructions to use agnihotri/cuad_contract_type with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agnihotri/cuad_contract_type with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agnihotri/cuad_contract_type")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("agnihotri/cuad_contract_type") model = AutoModelForSequenceClassification.from_pretrained("agnihotri/cuad_contract_type", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sample_input.pkl from agnihotri/cuad_contract_type: direct link, hf CLI and curl.
- Browser
- Download file 9.21 kB
-
https://huggingface.co/agnihotri/cuad_contract_type/resolve/main/sample_input.pkl
- Command line
-
hf download hf://agnihotri/cuad_contract_type/sample_input.pkl
-
curl -L -o sample_input.pkl https://huggingface.co/agnihotri/cuad_contract_type/resolve/main/sample_input.pkl
9.21 kB
- Xet hash:
- b383c45e99659994840c705f9e15cb30e923e4e2b4d826446b0a5e089a6155a8
- Size of remote file:
- 9.21 kB
- SHA256:
- ef178e08295e3ab765ada440a735b93bc2d20de2b0b53c646ccee9e400504512
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