Instructions to use asmaa1/videomae-base-groub21-22-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-groub21-22-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-groub21-22-finetuned-SLT-subset")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("asmaa1/videomae-base-groub21-22-finetuned-SLT-subset") model = AutoModelForVideoClassification.from_pretrained("asmaa1/videomae-base-groub21-22-finetuned-SLT-subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from asmaa1/videomae-base-groub21-22-finetuned-SLT-subset: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/asmaa1/videomae-base-groub21-22-finetuned-SLT-subset/resolve/9f9d87e4b33c2b414b4329dcd56fa77f37d02cf7/training_args.bin
- Command line
-
hf download hf://asmaa1/videomae-base-groub21-22-finetuned-SLT-subset@9f9d87e4b33c2b414b4329dcd56fa77f37d02cf7/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/asmaa1/videomae-base-groub21-22-finetuned-SLT-subset/resolve/9f9d87e4b33c2b414b4329dcd56fa77f37d02cf7/training_args.bin
4.09 kB
- Xet hash:
- 9db033fe141d3cbb97c52e2fcc0b5a8e6a6b7abb1797d8bc343510ae7e144854
- Size of remote file:
- 4.09 kB
- SHA256:
- 18cfb2be33a6ddc038430d53c748772dcd354b66dabe3748b5d3c8ef103f5f94
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