Instructions to use Ham1mad1/videomae-base-Vsl-Lab-PC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ham1mad1/videomae-base-Vsl-Lab-PC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="Ham1mad1/videomae-base-Vsl-Lab-PC")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("Ham1mad1/videomae-base-Vsl-Lab-PC") model = AutoModelForVideoClassification.from_pretrained("Ham1mad1/videomae-base-Vsl-Lab-PC") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoImageProcessor, AutoModelForVideoClassification
processor = AutoImageProcessor.from_pretrained("Ham1mad1/videomae-base-Vsl-Lab-PC")
model = AutoModelForVideoClassification.from_pretrained("Ham1mad1/videomae-base-Vsl-Lab-PC")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="Ham1mad1/videomae-base-Vsl-Lab-PC")