Instructions to use arpanl/Fine-Tuned_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arpanl/Fine-Tuned_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="arpanl/Fine-Tuned_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("arpanl/Fine-Tuned_Model") model = AutoModelForImageClassification.from_pretrained("arpanl/Fine-Tuned_Model") - Notebooks
- Google Colab
- Kaggle
Fine-Tuned_Model / runs /Feb07_12-24-50_8977fbbee6f1 /events.out.tfevents.1707308701.8977fbbee6f1.9585.0