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 variants/structured-code-v1-32768/evaluation.json from jfrick/scholarly-code-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 1.76 kB
-
https://huggingface.co/jfrick/scholarly-code-tokenizer/resolve/main/variants/structured-code-v1-32768/evaluation.json
- Command line
-
hf download hf://jfrick/scholarly-code-tokenizer/variants/structured-code-v1-32768/evaluation.json
-
curl -L -o evaluation.json https://huggingface.co/jfrick/scholarly-code-tokenizer/resolve/main/variants/structured-code-v1-32768/evaluation.json
1.76 kB
| { | |
| "name": "focused-64mib-32768", | |
| "vocab": 32768, | |
| "execution": "modal-cpu", | |
| "tokenizer_sha256": "add5b2c7542e4efded329735825ecdcb94df1432617c3d3e4b7508aa459432f9", | |
| "evaluation_sha256": "a9a82723c1e78b46ec52b33b81551a61a5498e46ac73a6f09e4c0da9e27775a0", | |
| "metrics": { | |
| "python": { | |
| "bytes": 2513044, | |
| "tokens": 615688, | |
| "examples": 512, | |
| "roundtrip_failures": 0, | |
| "unk_tokens": 0, | |
| "bytes_per_token": 4.08168422967477, | |
| "mean_tokens_per_example": 1202.515625, | |
| "p95_tokens_per_example": 2184 | |
| }, | |
| "json": { | |
| "bytes": 2782302, | |
| "tokens": 722785, | |
| "examples": 512, | |
| "roundtrip_failures": 0, | |
| "unk_tokens": 0, | |
| "bytes_per_token": 3.849418568453966, | |
| "mean_tokens_per_example": 1411.689453125, | |
| "p95_tokens_per_example": 2514 | |
| }, | |
| "git_diff": { | |
| "bytes": 187152, | |
| "tokens": 52862, | |
| "examples": 512, | |
| "roundtrip_failures": 0, | |
| "unk_tokens": 0, | |
| "bytes_per_token": 3.5403881805455715, | |
| "mean_tokens_per_example": 103.24609375, | |
| "p95_tokens_per_example": 249 | |
| }, | |
| "tool_call": { | |
| "bytes": 965682, | |
| "tokens": 251703, | |
| "examples": 512, | |
| "roundtrip_failures": 0, | |
| "unk_tokens": 0, | |
| "bytes_per_token": 3.8365931276146887, | |
| "mean_tokens_per_example": 491.607421875, | |
| "p95_tokens_per_example": 2304 | |
| } | |
| }, | |
| "fragmentation": { | |
| "{\"name\":\"read_file\",\"arguments\":{\"path\":\"src/main.py\"}}": 14, | |
| "diff --git a/main.py b/main.py\n@@ -1,2 +1,2 @@\n-old\n+new\n": 25, | |
| "get_user_configuration": 3, | |
| "\"additionalProperties\":false": 4, | |
| "\"tool_call_id\":\"call_0123456789\"": 12 | |
| }, | |
| "correctness_passed": true, | |
| "family": "focused", | |
| "size_mib": 64 | |
| } | |