Image Classification
Transformers
PyTorch
TensorFlow
Safetensors
data2vec-vision
image-feature-extraction
vision
Instructions to use facebook/data2vec-vision-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/data2vec-vision-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/data2vec-vision-large") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/data2vec-vision-large") model = AutoModel.from_pretrained("facebook/data2vec-vision-large") - Notebooks
- Google Colab
- Kaggle
LICENSE TO USE LARGE MODEL FOR FEATURE EXTRACTION BY COMMERCIALIZED APPLICATIONS
#1 opened over 3 years ago
by
ahmedghani