Instructions to use Bingsu/ocr_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bingsu/ocr_test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Bingsu/ocr_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from Bingsu/ocr_test: direct link, hf CLI and curl.
- Browser
- Download file 538 Bytes
-
https://huggingface.co/Bingsu/ocr_test/resolve/main/config.json
- Command line
-
hf download hf://Bingsu/ocr_test/config.json
-
curl -L -o config.json https://huggingface.co/Bingsu/ocr_test/resolve/main/config.json
538 Bytes
| { | |
| "mean": [ | |
| 0.694, | |
| 0.695, | |
| 0.693 | |
| ], | |
| "std": [ | |
| 0.299, | |
| 0.296, | |
| 0.301 | |
| ], | |
| "input_shape": [ | |
| 3, | |
| 32, | |
| 128 | |
| ], | |
| "vocab": "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~°£€¥¢฿ᄀᄁᄂᄃᄄᄅᄆᄇᄈᄉᄊᄋᄌᄍᄎᄏᄐᄑ하ᅢᅣᅤᅥᅦᅧᅨᅩᅪᅫᅬᅭᅮᅯᅰᅱᅲᅳᅴᅵᆨᆩᆪᆫᆬᆭᆮᆯᆰᆱᆲᆳᆴᆵᆶᆷᆸᆹᆺᆻᆼᆽᆾᆿᇀᇁᇂ", | |
| "url": null, | |
| "arch": "vitstr_small", | |
| "task": "recognition" | |
| } |