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:
- 09a20f36860d04b652c531171ee3e8a32286eacff5362b83a3b3346de463a62e
- Size of remote file:
- 4.03 kB
- SHA256:
- ae80d3eaa1e1017d989c6b0e279ddaf9a539f943f27024a9cf58a88ca4f5b5f1
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