Instructions to use WishArdently/v-jepa-vitl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WishArdently/v-jepa-vitl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="WishArdently/v-jepa-vitl", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WishArdently/v-jepa-vitl", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!