Instructions to use Sebastianpinar/lora2-33 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sebastianpinar/lora2-33 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Sebastianpinar/lora2-33") 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("Sebastianpinar/lora2-33") model = AutoModelForImageClassification.from_pretrained("Sebastianpinar/lora2-33") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("Sebastianpinar/lora2-33")
model = AutoModelForImageClassification.from_pretrained("Sebastianpinar/lora2-33")Quick Links
No model card
- Downloads last month
- 4
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Sebastianpinar/lora2-33") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")