Instructions to use ForumCore/finetuned_video_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ForumCore/finetuned_video_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ForumCore/finetuned_video_model") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("ForumCore/finetuned_video_model") model = AutoModelForImageClassification.from_pretrained("ForumCore/finetuned_video_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 945dd8c37e8c5dcdf81a91226893e2029c2eabecbf702de5f00be34d9cbf258b
- Size of remote file:
- 5.3 kB
- SHA256:
- 606fa0a2d077cde5b457a06b0f239cd00c744a0ce701d870c954f2533484da31
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.