Instructions to use uf-aice-lab/BLIP-Math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uf-aice-lab/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="uf-aice-lab/BLIP-Math")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("uf-aice-lab/BLIP-Math") model = AutoModelForMultimodalLM.from_pretrained("uf-aice-lab/BLIP-Math") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c6e8084afe7239e67b2f0841e20607d4fbc93907c8fd905828161a83b0407a4
- Size of remote file:
- 990 MB
- SHA256:
- a014e2a72e3435fd3f5836965d85fecbc79e1df1c325fc84dd942f89b303b796
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