Instructions to use datapaf/starcoder2_racket_tokenizer_expanded with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datapaf/starcoder2_racket_tokenizer_expanded with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("datapaf/starcoder2_racket_tokenizer_expanded", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from datapaf/starcoder2_racket_tokenizer_expanded: direct link, hf CLI and curl.
- Browser
- Download file 3.92 MB
-
https://huggingface.co/datapaf/starcoder2_racket_tokenizer_expanded/resolve/ae8c8d3327d7451ca8f565c7c64cae4852fbaee5/tokenizer.json
- Command line
-
hf download hf://datapaf/starcoder2_racket_tokenizer_expanded@ae8c8d3327d7451ca8f565c7c64cae4852fbaee5/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/datapaf/starcoder2_racket_tokenizer_expanded/resolve/ae8c8d3327d7451ca8f565c7c64cae4852fbaee5/tokenizer.json
3.92 MB
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