Instructions to use Chung-Fan/gemma2b_a4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chung-Fan/gemma2b_a4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Chung-Fan/gemma2b_a4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Chung-Fan/gemma2b_a4: direct link, hf CLI and curl.
- Browser
- Download file 34.3 MB
-
https://huggingface.co/Chung-Fan/gemma2b_a4/resolve/main/tokenizer.json
- Command line
-
hf download hf://Chung-Fan/gemma2b_a4/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Chung-Fan/gemma2b_a4/resolve/main/tokenizer.json
34.3 MB
- Xet hash:
- 4fff413e42d14c8fa35c4143f9535bfa1ccb8a2b573da2e6537d4c1a4151873b
- Size of remote file:
- 34.3 MB
- SHA256:
- c644094fa37d155fce4eccae9d5a12bb1723fe4439b0b6a2ebbe173755b2c218
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