Instructions to use bilbo991/clip-mixer-300k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bilbo991/clip-mixer-300k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bilbo991/clip-mixer-300k")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("bilbo991/clip-mixer-300k") model = AutoModel.from_pretrained("bilbo991/clip-mixer-300k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 009e8031baae318882d2fd03b22f907bc8b14ff67c074e712138ffddfccad984
- Size of remote file:
- 892 MB
- SHA256:
- b95912c8f96f167c646acb88aef5d0a38a9bb1abefaf2d0c93b334f6de5b9ed2
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