Instructions to use DaMax96/Stick_OCR_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaMax96/Stick_OCR_v4 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="DaMax96/Stick_OCR_v4")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("DaMax96/Stick_OCR_v4") model = AutoModelForMultimodalLM.from_pretrained("DaMax96/Stick_OCR_v4") - Notebooks
- Google Colab
- Kaggle
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license: mit
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Specialised model for internal use case.
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license: mit
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pipeline_tag: image-to-text
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library_name: transformers
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Specialised model for internal use case.
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