Instructions to use peter881122/xclip-base-patch32-finetuned-custom-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peter881122/xclip-base-patch32-finetuned-custom-subset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="peter881122/xclip-base-patch32-finetuned-custom-subset")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("peter881122/xclip-base-patch32-finetuned-custom-subset") model = AutoModelForVideoClassification.from_pretrained("peter881122/xclip-base-patch32-finetuned-custom-subset") - Notebooks
- Google Colab
- Kaggle
Help to fine-tune
#1 opened over 1 year ago
by
sharingan0o0