Instructions to use radames/blip_image_embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use radames/blip_image_embeddings with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="radames/blip_image_embeddings")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("radames/blip_image_embeddings", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- feature-extraction
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license: bsd-3-clause
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duplicated_from: florentgbelidji/blip_image_embeddings
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- feature-extraction
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license: bsd-3-clause
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library_name: generic
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duplicated_from: florentgbelidji/blip_image_embeddings
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widget:
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