Image-to-Text
Transformers
Safetensors
English
Russian
pp_ocrv6_small_rec
captcha
ocr
minecraft
pp-ocrv6
text-recognition
cyrillic
Instructions to use Titlehhhh/captchaocr-ppocrv6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Titlehhhh/captchaocr-ppocrv6 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="Titlehhhh/captchaocr-ppocrv6")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Titlehhhh/captchaocr-ppocrv6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from Titlehhhh/captchaocr-ppocrv6: direct link, hf CLI and curl.
- Browser
- Download file 120 Bytes
-
https://huggingface.co/Titlehhhh/captchaocr-ppocrv6/resolve/main/processor_config.json
- Command line
-
hf download hf://Titlehhhh/captchaocr-ppocrv6/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/Titlehhhh/captchaocr-ppocrv6/resolve/main/processor_config.json
120 Bytes
| { | |
| "image_processor_type": "PPOCRV6SmallRecImageProcessor", | |
| "processor_class": "PPOCRV6SmallRecImageProcessor" | |
| } | |