Instructions to use DaMax96/Stick_OCR_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaMax96/Stick_OCR_v3 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_v3")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("DaMax96/Stick_OCR_v3") model = AutoModelForImageTextToText.from_pretrained("DaMax96/Stick_OCR_v3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 238514bfc1d6874713c90c6609b9bdfa5d1db9a3d7d8ddbaf9a9f51378978596
- Size of remote file:
- 4.34 kB
- SHA256:
- d857a937b39f1ca1cea551ab60ef202233cd00455d4989b4548a657c33d456ee
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