Instructions to use asmaa1/videomae-base-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-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-finetuned-SLT-subset")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("asmaa1/videomae-base-finetuned-SLT-subset") model = AutoModelForVideoClassification.from_pretrained("asmaa1/videomae-base-finetuned-SLT-subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 566b9569619d8a9870b9f04f075b2db3fc489cba0cc5b9af63bbf0c9d8459f5f
- Size of remote file:
- 345 MB
- SHA256:
- 0e41e8701bfd677d47557b300bd5fe76191ff84e7ea00d1b7efaec5412d47971
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