Instructions to use facebook/vit-msn-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/vit-msn-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/vit-msn-small")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/vit-msn-small") model = AutoModel.from_pretrained("facebook/vit-msn-small") - Notebooks
- Google Colab
- Kaggle
updated the AutoFeatureExtractor to AutoImageProcessor in model usage code
#6 opened over 1 year ago
by
shivamgupta
Adding `safetensors` variant of this model
#5 opened about 3 years ago
by
SFconvertbot
Update config.json to reflect ImageNet-1k labels
#3 opened over 3 years ago
by
sayakpaul