Instructions to use babosurim/hayeon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use babosurim/hayeon with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("babosurim/hayeon") model = AutoModelForSeq2SeqLM.from_pretrained("babosurim/hayeon", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from babosurim/hayeon: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/babosurim/hayeon/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://babosurim/hayeon/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/babosurim/hayeon/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- e168896e37bc883ae44bbea35b964a806c65b65a658950c9b66595f1cc1f033d
- Size of remote file:
- 496 MB
- SHA256:
- 606d26a34ed40ae3ac7d87a955fd718e738e6c8e902ac735ee7c68da295167c0
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