Instructions to use advaitadasein/blip2_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use advaitadasein/blip2_test 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="advaitadasein/blip2_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("advaitadasein/blip2_test") model = AutoModelForMultimodalLM.from_pretrained("advaitadasein/blip2_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update handler.py
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Upload handler.py
Verified signatureadded the model name Salesforce/blip2-opt-6.7b to the handler. this will handler the multimodal task to generate the image descriptionff92cea
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added VQA ability in handler
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Upload handler.py
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Upload handler.py
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uploaded handler and requirements for it
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