Instructions to use yuchenlin/gen_fuser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuchenlin/gen_fuser with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yuchenlin/gen_fuser") model = AutoModelForSeq2SeqLM.from_pretrained("yuchenlin/gen_fuser", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from yuchenlin/gen_fuser: direct link, hf CLI and curl.
- Browser
- Download file 5.7 GB
-
https://huggingface.co/yuchenlin/gen_fuser/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://yuchenlin/gen_fuser/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/yuchenlin/gen_fuser/resolve/main/pytorch_model.bin
5.7 GB
- Xet hash:
- f008c29dad5519d1199fe8570ae592a307a9db58b289235a965e6ab35c02b126
- Size of remote file:
- 5.7 GB
- SHA256:
- 05cee875b1e34bbfb75e3e3896eba3e3a97797fb7e11df5192198a5321263dc7
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