Video Classification
Transformers
PyTorch
Safetensors
timesformer
retnet
action-recognition
hmdb51
efficient-models
Instructions to use sumit7488/RetFormerTrainedOnHDMB51 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sumit7488/RetFormerTrainedOnHDMB51 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="sumit7488/RetFormerTrainedOnHDMB51")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("sumit7488/RetFormerTrainedOnHDMB51") model = AutoModelForVideoClassification.from_pretrained("sumit7488/RetFormerTrainedOnHDMB51") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2455a2a59fcf63507e006a6c82f58d5c7382ff71afd05d83144762824ec7d09
- Size of remote file:
- 518 MB
- SHA256:
- 73a23ebdbf66e27c681de1fc46569be6d59ff3f0ba957c822a6ed3946361b967
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