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 config.json from Titlehhhh/captchaocr-ppocrv6: direct link, hf CLI and curl.
- Browser
- Download file 2.11 kB
-
https://huggingface.co/Titlehhhh/captchaocr-ppocrv6/resolve/main/config.json
- Command line
-
hf download hf://Titlehhhh/captchaocr-ppocrv6/config.json
-
curl -L -o config.json https://huggingface.co/Titlehhhh/captchaocr-ppocrv6/resolve/main/config.json
2.11 kB
| { | |
| "model_type": "pp_ocrv6_small_rec", | |
| "backbone_config": { | |
| "model_type": "pp_lcnet_v4", | |
| "stem_channels": [ | |
| 3, | |
| 64, | |
| 128 | |
| ], | |
| "stem_type": "large", | |
| "out_features": [ | |
| "stage1", | |
| "stage2", | |
| "stage3", | |
| "stage4" | |
| ], | |
| "out_indices": [ | |
| 1, | |
| 2, | |
| 3, | |
| 4 | |
| ], | |
| "block_configs": [ | |
| [ | |
| [ | |
| 3, | |
| 128, | |
| 128, | |
| 1, | |
| true | |
| ] | |
| ], | |
| [ | |
| [ | |
| 3, | |
| 128, | |
| 256, | |
| 1, | |
| false | |
| ], | |
| [ | |
| 3, | |
| 256, | |
| 256, | |
| 1, | |
| false | |
| ], | |
| [ | |
| 3, | |
| 256, | |
| 256, | |
| 1, | |
| true | |
| ] | |
| ], | |
| [ | |
| [ | |
| 3, | |
| 256, | |
| 512, | |
| [ | |
| 2, | |
| 1 | |
| ], | |
| false | |
| ], | |
| [ | |
| 3, | |
| 512, | |
| 512, | |
| 1, | |
| true | |
| ], | |
| [ | |
| 3, | |
| 512, | |
| 512, | |
| 1, | |
| false | |
| ], | |
| [ | |
| 3, | |
| 512, | |
| 512, | |
| 1, | |
| true | |
| ], | |
| [ | |
| 3, | |
| 512, | |
| 512, | |
| 1, | |
| false | |
| ], | |
| [ | |
| 3, | |
| 512, | |
| 512, | |
| 1, | |
| true | |
| ], | |
| [ | |
| 3, | |
| 512, | |
| 512, | |
| 1, | |
| false | |
| ] | |
| ], | |
| [ | |
| [ | |
| 3, | |
| 512, | |
| 768, | |
| [ | |
| 2, | |
| 1 | |
| ], | |
| false | |
| ], | |
| [ | |
| 3, | |
| 768, | |
| 768, | |
| 1, | |
| true | |
| ], | |
| [ | |
| 3, | |
| 768, | |
| 768, | |
| 1, | |
| false | |
| ] | |
| ] | |
| ] | |
| }, | |
| "hidden_act": "silu", | |
| "hidden_size": 192, | |
| "mlp_ratio": 4.0, | |
| "depth": 2, | |
| "head_out_channels": 18762, | |
| "conv_kernel_size": [ | |
| 1, | |
| 7 | |
| ] | |
| } | |