Instructions to use datasetsANDmodels/message-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datasetsANDmodels/message-extraction with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("datasetsANDmodels/message-extraction") model = AutoModelForSeq2SeqLM.from_pretrained("datasetsANDmodels/message-extraction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from datasetsANDmodels/message-extraction: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/datasetsANDmodels/message-extraction/resolve/main/training_args.bin
- Command line
-
hf download hf://datasetsANDmodels/message-extraction/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/datasetsANDmodels/message-extraction/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- 9423003d171468ae8ca54e8601e5c0b10419eec5380bfae7b0381dc65016625e
- Size of remote file:
- 4.79 kB
- SHA256:
- 52a5c185826cbacdf7444da6a15e5f1a088b275324f52a98d591bab69ca9f1a2
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