Instructions to use EdBianchi/vit-fire-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EdBianchi/vit-fire-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="EdBianchi/vit-fire-detection") 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("EdBianchi/vit-fire-detection") model = AutoModelForImageClassification.from_pretrained("EdBianchi/vit-fire-detection") - Inference
- Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Dec29_16-41-00_Edoardos-MBP.homenet.telecomitalia.it
- Feb03_18-01-25_Edoardos-MacBook-Pro.local
- Feb03_18-46-47_Edoardos-MacBook-Pro.local
- Feb03_19-08-17_Edoardos-MacBook-Pro.local
- Feb03_19-26-38_Edoardos-MacBook-Pro.local
- Feb03_20-16-58_Edoardos-MacBook-Pro.local
- Feb04_09-09-00_Edoardos-MacBook-Pro.local
- Feb05_15-42-37_Edoardos-MacBook-Pro.local
- Jan08_18-43-32_Edoardos-MBP.homenet.telecomitalia.it
- Jan08_19-42-30_Edoardos-MBP.homenet.telecomitalia.it