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/paired-comparisons.json from jfrick/scholarly-code-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/jfrick/scholarly-code-tokenizer/resolve/main/research/structured-code-v1/paired-comparisons.json
- Command line
-
hf download hf://jfrick/scholarly-code-tokenizer/research/structured-code-v1/paired-comparisons.json
-
curl -L -o paired-comparisons.json https://huggingface.co/jfrick/scholarly-code-tokenizer/resolve/main/research/structured-code-v1/paired-comparisons.json
5.05 kB
| [ | |
| { | |
| "vocab": 16384, | |
| "category": "python", | |
| "baseline_size_mib": 64, | |
| "token_saving_percent": 5.161717709235713, | |
| "paired_ci95": [ | |
| 4.805887801278443, | |
| 5.518307765192585 | |
| ] | |
| }, | |
| { | |
| "vocab": 16384, | |
| "category": "python", | |
| "baseline_size_mib": 2048, | |
| "token_saving_percent": 4.554172839072024, | |
| "paired_ci95": [ | |
| 4.2022398257968305, | |
| 4.8870282779627345 | |
| ] | |
| }, | |
| { | |
| "vocab": 16384, | |
| "category": "json", | |
| "baseline_size_mib": 64, | |
| "token_saving_percent": 11.49778915522458, | |
| "paired_ci95": [ | |
| 11.051183144800918, | |
| 11.937857395041755 | |
| ] | |
| }, | |
| { | |
| "vocab": 16384, | |
| "category": "json", | |
| "baseline_size_mib": 2048, | |
| "token_saving_percent": 10.045900258891184, | |
| "paired_ci95": [ | |
| 9.62401271480091, | |
| 10.448147880543663 | |
| ] | |
| }, | |
| { | |
| "vocab": 16384, | |
| "category": "git_diff", | |
| "baseline_size_mib": 64, | |
| "token_saving_percent": 14.381806036692401, | |
| "paired_ci95": [ | |
| 13.52058267964924, | |
| 15.107384868191106 | |
| ] | |
| }, | |
| { | |
| "vocab": 16384, | |
| "category": "git_diff", | |
| "baseline_size_mib": 2048, | |
| "token_saving_percent": 14.181835168086199, | |
| "paired_ci95": [ | |
| 13.483675527600566, | |
| 14.828775308338756 | |
| ] | |
| }, | |
| { | |
| "vocab": 16384, | |
| "category": "tool_call", | |
| "baseline_size_mib": 64, | |
| "token_saving_percent": 17.040354513346145, | |
| "paired_ci95": [ | |
| 16.288536671705394, | |
| 17.857604436611496 | |
| ] | |
| }, | |
| { | |
| "vocab": 16384, | |
| "category": "tool_call", | |
| "baseline_size_mib": 2048, | |
| "token_saving_percent": 16.768112786628674, | |
| "paired_ci95": [ | |
| 16.00072559221649, | |
| 17.65307903734406 | |
| ] | |
| }, | |
| { | |
| "vocab": 32768, | |
| "category": "python", | |
| "baseline_size_mib": 64, | |
| "token_saving_percent": 3.715102495292788, | |
| "paired_ci95": [ | |
| 3.416089462295272, | |
| 3.98995603061774 | |
| ] | |
| }, | |
| { | |
| "vocab": 32768, | |
| "category": "python", | |
| "baseline_size_mib": 2048, | |
| "token_saving_percent": 2.8060044548773977, | |
| "paired_ci95": [ | |
| 2.5062225893620456, | |
| 3.0750785140490904 | |
| ] | |
| }, | |
| { | |
| "vocab": 32768, | |
| "category": "json", | |
| "baseline_size_mib": 64, | |
| "token_saving_percent": 8.836071797497858, | |
| "paired_ci95": [ | |
| 8.489760736047739, | |
| 9.168205525309618 | |
| ] | |
| }, | |
| { | |
| "vocab": 32768, | |
| "category": "json", | |
| "baseline_size_mib": 2048, | |
| "token_saving_percent": 8.21369838659496, | |
| "paired_ci95": [ | |
| 7.84936586072181, | |
| 8.534293914918637 | |
| ] | |
| }, | |
| { | |
| "vocab": 32768, | |
| "category": "git_diff", | |
| "baseline_size_mib": 64, | |
| "token_saving_percent": 12.523581002813177, | |
| "paired_ci95": [ | |
| 11.74804909818136, | |
| 13.237170838119336 | |
| ] | |
| }, | |
| { | |
| "vocab": 32768, | |
| "category": "git_diff", | |
| "baseline_size_mib": 2048, | |
| "token_saving_percent": 11.833480661140483, | |
| "paired_ci95": [ | |
| 11.044209250897488, | |
| 12.573471647810612 | |
| ] | |
| }, | |
| { | |
| "vocab": 32768, | |
| "category": "tool_call", | |
| "baseline_size_mib": 64, | |
| "token_saving_percent": 14.702971974651803, | |
| "paired_ci95": [ | |
| 13.87174606871349, | |
| 15.585460177596222 | |
| ] | |
| }, | |
| { | |
| "vocab": 32768, | |
| "category": "tool_call", | |
| "baseline_size_mib": 2048, | |
| "token_saving_percent": 13.967104858390922, | |
| "paired_ci95": [ | |
| 13.094244188134251, | |
| 14.86115232472458 | |
| ] | |
| }, | |
| { | |
| "vocab": 50000, | |
| "category": "python", | |
| "baseline_size_mib": 64, | |
| "token_saving_percent": 2.76451113616184, | |
| "paired_ci95": [ | |
| 2.507650374711118, | |
| 3.0204865576016524 | |
| ] | |
| }, | |
| { | |
| "vocab": 50000, | |
| "category": "python", | |
| "baseline_size_mib": 2048, | |
| "token_saving_percent": 1.6333682923995951, | |
| "paired_ci95": [ | |
| 1.3690041312459533, | |
| 1.8792020981977022 | |
| ] | |
| }, | |
| { | |
| "vocab": 50000, | |
| "category": "json", | |
| "baseline_size_mib": 64, | |
| "token_saving_percent": 7.215038631382765, | |
| "paired_ci95": [ | |
| 6.885572584118245, | |
| 7.538642446610321 | |
| ] | |
| }, | |
| { | |
| "vocab": 50000, | |
| "category": "json", | |
| "baseline_size_mib": 2048, | |
| "token_saving_percent": 7.160854468004696, | |
| "paired_ci95": [ | |
| 6.8230077267262095, | |
| 7.490274125295937 | |
| ] | |
| }, | |
| { | |
| "vocab": 50000, | |
| "category": "git_diff", | |
| "baseline_size_mib": 64, | |
| "token_saving_percent": 7.743693886276182, | |
| "paired_ci95": [ | |
| 7.125926910643197, | |
| 8.312421798378304 | |
| ] | |
| }, | |
| { | |
| "vocab": 50000, | |
| "category": "git_diff", | |
| "baseline_size_mib": 2048, | |
| "token_saving_percent": 7.129920200842821, | |
| "paired_ci95": [ | |
| 6.607120345561133, | |
| 7.644764143960624 | |
| ] | |
| }, | |
| { | |
| "vocab": 50000, | |
| "category": "tool_call", | |
| "baseline_size_mib": 64, | |
| "token_saving_percent": 13.145045375119778, | |
| "paired_ci95": [ | |
| 12.422289981936078, | |
| 13.92135869878892 | |
| ] | |
| }, | |
| { | |
| "vocab": 50000, | |
| "category": "tool_call", | |
| "baseline_size_mib": 2048, | |
| "token_saving_percent": 12.696928813487297, | |
| "paired_ci95": [ | |
| 11.968021889121987, | |
| 13.519645028868915 | |
| ] | |
| } | |
| ] | |