Instructions to use mingxilei/gemma-2-2b-imdb-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mingxilei/gemma-2-2b-imdb-sft with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mingxilei/gemma-2-2b-imdb-sft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mingxilei/gemma-2-2b-imdb-sft: direct link, hf CLI and curl.
- Browser
- Download file 5.82 kB
-
https://huggingface.co/mingxilei/gemma-2-2b-imdb-sft/resolve/main/training_args.bin
- Command line
-
hf download hf://mingxilei/gemma-2-2b-imdb-sft/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mingxilei/gemma-2-2b-imdb-sft/resolve/main/training_args.bin
5.82 kB
- Xet hash:
- 9c944ce60f3c626fee6e83fac18018caa688245c07926371023006581582465f
- Size of remote file:
- 5.82 kB
- SHA256:
- 35193b582fe92b6b0e9dc8df60117250fbfdd654b23297ef48c8dd3d86c1ec9a
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