Instructions to use datasetsANDmodels/request-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datasetsANDmodels/request-extraction with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("datasetsANDmodels/request-extraction") model = AutoModelForSeq2SeqLM.from_pretrained("datasetsANDmodels/request-extraction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from datasetsANDmodels/request-extraction: direct link, hf CLI and curl.
- Browser
- Download file 2.95 GB
-
https://huggingface.co/datasetsANDmodels/request-extraction/resolve/main/model.safetensors
- Command line
-
hf download hf://datasetsANDmodels/request-extraction/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/datasetsANDmodels/request-extraction/resolve/main/model.safetensors
2.95 GB
- Xet hash:
- f377439d114921b1ff0af1993541d66ea524db0d5a052bfba8de2d623593d873
- Size of remote file:
- 2.95 GB
- SHA256:
- 3f29b98186e6dabd984698798ddb11c5962af20d6b90339140842292f67f89bf
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