Image Feature Extraction
Transformers
PyTorch
custom_clip_with_registers
feature-extraction
clip
custom_code
Instructions to use JH-C-k/clipL336_TTR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JH-C-k/clipL336_TTR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="JH-C-k/clipL336_TTR", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JH-C-k/clipL336_TTR", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- __pycache__
- utils
- vocab
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