Instructions to use jmcinern/qwen_tokenizer_ga_multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jmcinern/qwen_tokenizer_ga_multilingual with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jmcinern/qwen_tokenizer_ga_multilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from jmcinern/qwen_tokenizer_ga_multilingual: direct link, hf CLI and curl.
- Browser
- Download file 38.5 MB
-
https://huggingface.co/jmcinern/qwen_tokenizer_ga_multilingual/resolve/main/tokenizer.json
- Command line
-
hf download hf://jmcinern/qwen_tokenizer_ga_multilingual/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/jmcinern/qwen_tokenizer_ga_multilingual/resolve/main/tokenizer.json
38.5 MB
- Xet hash:
- 4151ccd12946a4473b974a340778bf2aa1c0394855a80a3da7364135d7e7097d
- Size of remote file:
- 38.5 MB
- SHA256:
- b29e944347c31655f2ad04a301890b467b5eb601fd311b8dcddac794c1355870
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