Instructions to use Salesforce/blip-image-captioning-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/blip-image-captioning-large 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="Salesforce/blip-image-captioning-large")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Salesforce/blip-image-captioning-large") model = AutoModelForImageTextToText.from_pretrained("Salesforce/blip-image-captioning-large") - Notebooks
- Google Colab
- Kaggle
ONNX?
#13
by mhrobinson - opened
Can this model be converted into ONNX? Transformers do not support BLIP conversion into ONNX. Is the underlying model incompatible with ONNX? Any guidance would be greatly appreciated! Thanks
Can this model be converted into ONNX? Transformers do not support BLIP conversion into ONNX. Is the underlying model incompatible with ONNX? Any guidance would be greatly appreciated! Thanks
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