Image-to-Text
Transformers
Safetensors
vision-encoder-decoder
image-text-to-text
trocr
ocr
captcha
digits-captcha
synthetic-data
Instructions to use arkhabbazan/ocr-digits-captcha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arkhabbazan/ocr-digits-captcha with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-text", model="arkhabbazan/ocr-digits-captcha")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("arkhabbazan/ocr-digits-captcha") model = AutoModelForMultimodalLM.from_pretrained("arkhabbazan/ocr-digits-captcha", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from arkhabbazan/ocr-digits-captcha: direct link, hf CLI and curl.
- Browser
- Download file 431 Bytes
-
https://huggingface.co/arkhabbazan/ocr-digits-captcha/resolve/main/processor_config.json
- Command line
-
hf download hf://arkhabbazan/ocr-digits-captcha/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/arkhabbazan/ocr-digits-captcha/resolve/main/processor_config.json
431 Bytes
| { | |
| "image_processor": { | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "ViTImageProcessor", | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "resample": 2, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 384, | |
| "width": 384 | |
| } | |
| }, | |
| "processor_class": "TrOCRProcessor" | |
| } | |