Instructions to use jfrick/scholarly-code-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jfrick/scholarly-code-tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jfrick/scholarly-code-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download research/source-comparisons.svg from jfrick/scholarly-code-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 227 kB
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https://huggingface.co/jfrick/scholarly-code-tokenizer/resolve/main/research/source-comparisons.svg
- Command line
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hf download hf://jfrick/scholarly-code-tokenizer/research/source-comparisons.svg
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curl -L -o source-comparisons.svg https://huggingface.co/jfrick/scholarly-code-tokenizer/resolve/main/research/source-comparisons.svg
227 kB