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, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Haimath/BLIP-Math") model = AutoModelForImageTextToText.from_pretrained("Haimath/BLIP-Math") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9dd46e7dc7246b64d52d2c3f5f4dcd26cbefae00314ce6863651fb904c53f6b
- Size of remote file:
- 990 MB
- SHA256:
- d0aaa4c0e003f599d8baa53a9dee85af14eef20554cf2f8113a2673e25a59f8c
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