Instructions to use mo-thecreator/BLIP-Radiology-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mo-thecreator/BLIP-Radiology-model 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="mo-thecreator/BLIP-Radiology-model")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("mo-thecreator/BLIP-Radiology-model") model = AutoModelForImageTextToText.from_pretrained("mo-thecreator/BLIP-Radiology-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbebc956b66b0d90426e325cdb526fba8c28a73e9e58894e7cae5f21cca38578
- Size of remote file:
- 990 MB
- SHA256:
- 87c30bd7d4a51541b9f8c0dffba2ee9b29ac1655aae8760578703fbd08cee298
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