Instructions to use facebook/vjepa2-vitg-fpc64-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/vjepa2-vitg-fpc64-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="facebook/vjepa2-vitg-fpc64-384")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("facebook/vjepa2-vitg-fpc64-384") model = AutoModelForMultimodalLM.from_pretrained("facebook/vjepa2-vitg-fpc64-384") - Notebooks
- Google Colab
- Kaggle
Add fine-tuning notebook (#3)
Browse files- Add fine-tuning notebook (2d00ad4f78e2f0c2810ad991be0efaa476962d93)
Co-authored-by: merve <merve@users.noreply.huggingface.co>