Instructions to use spara/codegemma_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spara/codegemma_tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("spara/codegemma_tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from spara/codegemma_tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/spara/codegemma_tokenizer/resolve/main/tokenizer.json
- Command line
-
hf download hf://spara/codegemma_tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/spara/codegemma_tokenizer/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- b1a18734e478fdef9d2f506a6e5826b18be7a80760a7f2bc30b073d1aa7540ad
- Size of remote file:
- 17.5 MB
- SHA256:
- 3f8311e1140366e2d063d2f47f5af652e2cce5fdda518a7e5cb7d74524744f7f
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