Instructions to use miladfa7/picth_vision_checkpoint_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use miladfa7/picth_vision_checkpoint_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="miladfa7/picth_vision_checkpoint_3", device_map="auto")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("miladfa7/picth_vision_checkpoint_3") model = AutoModelForVideoClassification.from_pretrained("miladfa7/picth_vision_checkpoint_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4222df64f95a09d78154223c8f973648f47da1793bab08d46699a0886582a59e
- Size of remote file:
- 5.56 kB
- SHA256:
- 86519c5b09d02b7ce5ba0953fa4914b1e7c3257a0fbda0092bb33abef948e40e
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