Instructions to use alehc/swissai-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alehc/swissai-tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("alehc/swissai-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from alehc/swissai-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/alehc/swissai-tokenizer/resolve/main/tokenizer.json
- Command line
-
hf download hf://alehc/swissai-tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/alehc/swissai-tokenizer/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 9c4b183f9e9b765d2e514c2b69f72372c158c36981456efc52981b88a5185a4a
- Size of remote file:
- 17.1 MB
- SHA256:
- be12f4375d655cc740864e3a9041bcddd8477942f209d9e7f27f6c8767162638
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