Instructions to use ashishgimekar/shot_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashishgimekar/shot_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="ashishgimekar/shot_model")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("ashishgimekar/shot_model") model = AutoModelForVideoClassification.from_pretrained("ashishgimekar/shot_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2a188aed7d5af0e8185ef09d14b4174b4a2d7b78c68b015cddd6ff27d42d05b
- Size of remote file:
- 5.27 kB
- SHA256:
- e43a98fb1b607f5f1e37cfc13dfc65018d622afa00fdd9c8135ea36f6ac3db29
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