Instructions to use asmaa1/videomae-base-groub23-24-finetuned-SLT-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asmaa1/videomae-base-groub23-24-finetuned-SLT-subset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="asmaa1/videomae-base-groub23-24-finetuned-SLT-subset")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("asmaa1/videomae-base-groub23-24-finetuned-SLT-subset") model = AutoModelForVideoClassification.from_pretrained("asmaa1/videomae-base-groub23-24-finetuned-SLT-subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 844f5aa94e408aa39d7744d5c70d0987a20b2fea1cc7c9bc694d0954ac524d68
- Size of remote file:
- 4.09 kB
- SHA256:
- 5fa471ec790f65d1b7d21ad25f4ce7c4f54b6a01cf37854787269842cebf1ea7
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