Instructions to use nntoan209/test_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nntoan209/test_tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nntoan209/test_tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from nntoan209/test_tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 19.5 MB
-
https://huggingface.co/nntoan209/test_tokenizer/resolve/main/tokenizer.json
- Command line
-
hf download hf://nntoan209/test_tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/nntoan209/test_tokenizer/resolve/main/tokenizer.json
19.5 MB
- Xet hash:
- 8563838db8c39e5cc53b071fb69762b720de6f02223122012b58c5656b221645
- Size of remote file:
- 19.5 MB
- SHA256:
- 92bd34973326930c17815fed3f1bbb32f2e2a40b621678ed8859a04a59257444
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