Instructions to use miladfa7/picth_vision_checkpoint_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use miladfa7/picth_vision_checkpoint_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="miladfa7/picth_vision_checkpoint_1")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("miladfa7/picth_vision_checkpoint_1") model = AutoModelForVideoClassification.from_pretrained("miladfa7/picth_vision_checkpoint_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85806d8aa7bbfa1902a8de7c5247190ac2769aa4429c04a3e2bec8f292fbcab1
- Size of remote file:
- 5.43 kB
- SHA256:
- 0b737627e08028aca52fccbef44836c1bf69c478b8f0379f24a12f7a0869e715
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