Instructions to use umutertugrul/gemma_tr_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use umutertugrul/gemma_tr_tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("umutertugrul/gemma_tr_tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from umutertugrul/gemma_tr_tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 2.21 MB
-
https://huggingface.co/umutertugrul/gemma_tr_tokenizer/resolve/main/tokenizer.json
- Command line
-
hf download hf://umutertugrul/gemma_tr_tokenizer/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/umutertugrul/gemma_tr_tokenizer/resolve/main/tokenizer.json
2.21 MB
File too large to display, you can check the raw version instead.