Instructions to use matchacams/nystagmus_video_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use matchacams/nystagmus_video_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="matchacams/nystagmus_video_classification")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("matchacams/nystagmus_video_classification") model = AutoModelForVideoClassification.from_pretrained("matchacams/nystagmus_video_classification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 1 year ago
by
SFconvertbot