Instructions to use thegigasurgeon/mopping_224_16_frames_resampling_4_large_regression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thegigasurgeon/mopping_224_16_frames_resampling_4_large_regression with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="thegigasurgeon/mopping_224_16_frames_resampling_4_large_regression")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("thegigasurgeon/mopping_224_16_frames_resampling_4_large_regression") model = AutoModelForVideoClassification.from_pretrained("thegigasurgeon/mopping_224_16_frames_resampling_4_large_regression", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot