Instructions to use Haimath/BLIP-Math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Haimath/BLIP-Math 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="Haimath/BLIP-Math")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Haimath/BLIP-Math") model = AutoModelForMultimodalLM.from_pretrained("Haimath/BLIP-Math") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9dc7d44101b03d40909cb92cfbd504d1e8cd3da73bc4e31bef9d7ff00b4cdcec
- Size of remote file:
- 990 MB
- SHA256:
- 94ba00643afc5ef04f7ee430c693665569ecbe004928e0b270a539c54b1efcaf
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