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
Download research/structured-code-v1/general-regression.json from jfrick/scholarly-code-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 892 Bytes
-
https://huggingface.co/jfrick/scholarly-code-tokenizer/resolve/main/research/structured-code-v1/general-regression.json
- Command line
-
hf download hf://jfrick/scholarly-code-tokenizer/research/structured-code-v1/general-regression.json
-
curl -L -o general-regression.json https://huggingface.co/jfrick/scholarly-code-tokenizer/resolve/main/research/structured-code-v1/general-regression.json
892 Bytes
| [ | |
| { | |
| "vocab": 16384, | |
| "baseline_size_mib": 64, | |
| "token_change_percent": 13.8842083685768, | |
| "bytes_per_token": 3.2895479620878447 | |
| }, | |
| { | |
| "vocab": 16384, | |
| "baseline_size_mib": 2048, | |
| "token_change_percent": 14.48309849875795, | |
| "bytes_per_token": 3.2895479620878447 | |
| }, | |
| { | |
| "vocab": 32768, | |
| "baseline_size_mib": 64, | |
| "token_change_percent": 13.066679257845637, | |
| "bytes_per_token": 3.5474462447867094 | |
| }, | |
| { | |
| "vocab": 32768, | |
| "baseline_size_mib": 2048, | |
| "token_change_percent": 13.9913345559888, | |
| "bytes_per_token": 3.5474462447867094 | |
| }, | |
| { | |
| "vocab": 50000, | |
| "baseline_size_mib": 64, | |
| "token_change_percent": 11.982248703193132, | |
| "bytes_per_token": 3.6963237177351083 | |
| }, | |
| { | |
| "vocab": 50000, | |
| "baseline_size_mib": 2048, | |
| "token_change_percent": 13.048704871757423, | |
| "bytes_per_token": 3.6963237177351083 | |
| } | |
| ] | |