Instructions to use SpearsoftLabs/spearindic-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SpearsoftLabs/spearindic-tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SpearsoftLabs/spearindic-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from SpearsoftLabs/spearindic-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 14.5 MB
-
https://huggingface.co/SpearsoftLabs/spearindic-tokenizer/resolve/main/tokenizer.json
- Command line
-
hf download hf://SpearsoftLabs/spearindic-tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/SpearsoftLabs/spearindic-tokenizer/resolve/main/tokenizer.json
14.5 MB
- Xet hash:
- d9630396ca2d9fde340ac16172fdd1187f08e480494736d3bc8795a2bb99eabc
- Size of remote file:
- 14.5 MB
- SHA256:
- 9e06688be425d0f26946c744a11ef5c1867e835beedf5c6b4acae0727f65747f
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