Instructions to use svenbl80/roberta-base_contracts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use svenbl80/roberta-base_contracts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="svenbl80/roberta-base_contracts")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("svenbl80/roberta-base_contracts") model = AutoModelForSequenceClassification.from_pretrained("svenbl80/roberta-base_contracts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from svenbl80/roberta-base_contracts: direct link, hf CLI and curl.
- Browser
- Download file 3.63 kB
-
https://huggingface.co/svenbl80/roberta-base_contracts/resolve/main/training_args.bin
- Command line
-
hf download hf://svenbl80/roberta-base_contracts/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/svenbl80/roberta-base_contracts/resolve/main/training_args.bin
3.63 kB
- Xet hash:
- 9b9e7f18837a12857a9b3d5645b99f6973c0ded3f2e74c424b74cae930c22e7f
- Size of remote file:
- 3.63 kB
- SHA256:
- 775da078a63990454817cebad31084f09cf67cad8dc28df553d304688424b237
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