Image Feature Extraction
Transformers
PyTorch
custom_clip_with_registers
feature-extraction
clip
custom_code
Instructions to use amildravid4292/clip-vitl14-test-time-registers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amildravid4292/clip-vitl14-test-time-registers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="amildravid4292/clip-vitl14-test-time-registers", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("amildravid4292/clip-vitl14-test-time-registers", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and license
#1
by nielsr HF Staff - opened
This PR ensures the model can be found at https://huggingface.co/models?pipeline_tag=image-feature-extraction and improves the model card metadata in general.
amildravid4292 changed pull request status to merged