Instructions to use bowmanhan/gemma7bma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bowmanhan/gemma7bma with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bowmanhan/gemma7bma", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from bowmanhan/gemma7bma: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/bowmanhan/gemma7bma/resolve/main/tokenizer.json
- Command line
-
hf download hf://bowmanhan/gemma7bma/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/bowmanhan/gemma7bma/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- 2b46fca03c8bccf8b88df279ca2115f525592e1e1d288f525c6266c76c3fb995
- Size of remote file:
- 34.4 MB
- SHA256:
- e3bfe75911be2d16e407044cd3a130f770b0a690b4ab8dd63b583c716f68613b
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