Instructions to use asmaa1/videomae-base-groub13-14-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-groub13-14-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-groub13-14-finetuned-SLT-subset")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("asmaa1/videomae-base-groub13-14-finetuned-SLT-subset") model = AutoModelForVideoClassification.from_pretrained("asmaa1/videomae-base-groub13-14-finetuned-SLT-subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from asmaa1/videomae-base-groub13-14-finetuned-SLT-subset: direct link, hf CLI and curl.
- Browser
- Download file 345 MB
-
https://huggingface.co/asmaa1/videomae-base-groub13-14-finetuned-SLT-subset/resolve/30bda9751d45ddeb3f2c620d98b28362735489ab/pytorch_model.bin
- Command line
-
hf download hf://asmaa1/videomae-base-groub13-14-finetuned-SLT-subset@30bda9751d45ddeb3f2c620d98b28362735489ab/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/asmaa1/videomae-base-groub13-14-finetuned-SLT-subset/resolve/30bda9751d45ddeb3f2c620d98b28362735489ab/pytorch_model.bin
345 MB
- Xet hash:
- 6c76f8d39f7445891b21fa56f9a4b7b126db59740fae00f4b019822dd0c74290
- Size of remote file:
- 345 MB
- SHA256:
- d025e5d212a8dcf7a3f53d57b505dc54ef9159ff8a81c01ac7840d1534986327
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