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
Card: drop the stale dataset size from the archived-benchmark note
Browse files
README.md
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### The base model on the whole dataset (archived benchmark)
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> These three numbers were measured on
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> (23 000 PNG) that this model was trained on. They are the base
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> repository's, and they were not re-measured on the new render.
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### The base model on the whole dataset (archived benchmark)
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> These three numbers were measured on an **earlier, smaller render** of the dataset
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> (100 images per type), before the dataset repository was re-uploaded with the
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> 500-per-type render (23 000 PNG) that this model was trained on. They are the base
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> model's numbers, not this repository's, and they were not re-measured on the new render.
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