Image-to-Text
Transformers
ONNX
Safetensors
Japanese
English
vision-encoder-decoder
feature-extraction
ocr
kuzushiji
japanese
historical-documents
custom_code
Instructions to use yuta1984/honkoku-ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuta1984/honkoku-ocr 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="yuta1984/honkoku-ocr", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("yuta1984/honkoku-ocr", trust_remote_code=True) model = AutoModel.from_pretrained("yuta1984/honkoku-ocr", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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