Instructions to use brenorb/doc-quality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use brenorb/doc-quality with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("brenorb/doc-quality") # Extract entities text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday." result = extractor.extract_entities(text, ["company", "person", "product", "location"]) print(result) - Notebooks
- Google Colab
- Kaggle
Download model-manifest.json from brenorb/doc-quality: direct link, hf CLI and curl.
- Browser
- Download file 1.14 kB
-
https://huggingface.co/brenorb/doc-quality/resolve/main/model-manifest.json
- Command line
-
hf download hf://brenorb/doc-quality/model-manifest.json
-
curl -L -o model-manifest.json https://huggingface.co/brenorb/doc-quality/resolve/main/model-manifest.json
1.14 kB
| { | |
| "repo_id": "brenorb/doc-quality", | |
| "archive_sha256": "246dd72c35783452a03d5e4a1a06294bb0988632625a26ab4bd2d9224ed0c165", | |
| "archive_bytes": 1954483586, | |
| "files": { | |
| "base/config.json": "501c6579278518e72dbba5a1f248b421dd5bfb13600db45d86c94c224368670b", | |
| "base/encoder_config/config.json": "bd32f1484ba5a199f7a63df44df3814b839fffcf6e64478323c4689868ef6015", | |
| "base/model.safetensors": "40a5a23ff860dc3dff426cecd1048cacdd29c648c96db209dad818e9686dc997", | |
| "base/special_tokens_map.json": "84ea70143f533d7e99b393d87f20010887a9ac2cba955828ef313886e4e83f4f", | |
| "base/tokenizer.json": "3ad87d9ffe669147063e70850927dd2da90249e2acc5c8527f1eb65df467bcc8", | |
| "base/tokenizer_config.json": "323199a4e946039410899f3779f2aa3eaef1500213c512727ad0f623d4f21309", | |
| "base/README.md": "09a9705ee8c30392bb5a82ac503c01b889ff7e957a4c96bf7249f05acde709a3", | |
| "quality_head.json": "f93bcf4886640b05e1c8f5830aa455049c614e1fc3aa88a6d58c804ed70492cf", | |
| "quality_config.json": "b3301ca3fadf0a52be2a6ccfaf4bc5d70115c434d6a10411268e6946edb29c56", | |
| "base/LICENSE": "cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30" | |
| } | |
| } | |