Instructions to use facebook/timesformer-base-finetuned-k400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/timesformer-base-finetuned-k400 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="facebook/timesformer-base-finetuned-k400")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("facebook/timesformer-base-finetuned-k400") model = AutoModelForVideoClassification.from_pretrained("facebook/timesformer-base-finetuned-k400", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Error during conversion: ValueError('Queue is full! Please try again.')
#6 opened over 2 years ago
by
LauJra
Adding `safetensors` variant of this model
#5 opened over 2 years ago
by
SFconvertbot
Update README.md
#4 opened over 3 years ago
by
tiansz