Instructions to use memegpt/blip2_endpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use memegpt/blip2_endpoint 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="memegpt/blip2_endpoint")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("memegpt/blip2_endpoint") model = AutoModelForVisualQuestionAnswering.from_pretrained("memegpt/blip2_endpoint") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
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oid sha256:81b77c37224d4f5ba35295c122e614e30ee8312bb5ca60eb0859749a09bb8c37
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model-00002-of-00002.safetensors
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oid sha256:ec126c79363120a346db188eb3524a07547f4fdd6d63a049d855650444dedd4f
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model.safetensors.index.json
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