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.model from spara/codegemma_tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 4.24 MB
-
https://huggingface.co/spara/codegemma_tokenizer/resolve/main/tokenizer.model
- Command line
-
hf download hf://spara/codegemma_tokenizer/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/spara/codegemma_tokenizer/resolve/main/tokenizer.model
4.24 MB
- Xet hash:
- e116c2e3a6093dafc2c08c1490518bc1ed554c21ae8611b934b634fe7403ca57
- Size of remote file:
- 4.24 MB
- SHA256:
- 583f2ebd2a1936009b7da991ea255504db68c7a9713a78673d1335a87098966c
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