Instructions to use unum-cloud/uform-vl-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unum-cloud/uform-vl-english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="unum-cloud/uform-vl-english")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("unum-cloud/uform-vl-english", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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__Pros__:
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- Joint embedding captures fine-grained features.
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- Suitable for re-ranking
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__Cons__:
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__Pros__:
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- Joint embedding captures fine-grained features.
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- Suitable for re-ranking – sorting retrieval result.
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__Cons__:
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