Instructions to use ybelkada/tiny-clip-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ybelkada/tiny-clip-text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ybelkada/tiny-clip-text")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ybelkada/tiny-clip-text") model = AutoModel.from_pretrained("ybelkada/tiny-clip-text") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3fc4bd254a2e9644dffe4e4fc0eda39b59cb945fa90cfac84195ab8f2eeb4dfa
- Size of remote file:
- 301 kB
- SHA256:
- 7ab181415a24b8dc4988bfd374f9742fc69294d8d584475c8fadf7e603db55d2
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