Instructions to use Menlo/Poseless-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Menlo/Poseless-3B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Menlo/Poseless-3B") model = AutoModelForImageTextToText.from_pretrained("Menlo/Poseless-3B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a95e84ccd77b0fe0de063b35352986cc9125aa4b3b48f4b203c162f06a8526ce
- Size of remote file:
- 11.4 MB
- SHA256:
- 3727d1ecdaa57cb3fdfa9df4b1efba3fcb6428625d43aed770338af210d95eec
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