Instructions to use Sebastianpinar/lora-12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sebastianpinar/lora-12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Sebastianpinar/lora-12") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Sebastianpinar/lora-12") model = AutoModelForImageClassification.from_pretrained("Sebastianpinar/lora-12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 36
dd8b5e2 -
Training in progress, epoch 32
02c390b -
Training in progress, epoch 25
b095147 -
Training in progress, epoch 20
4abfa59 -
Training in progress, epoch 16
193aa64 -
Training in progress, epoch 10
f344c35 -
Training in progress, epoch 6
367c976 -
Training in progress, epoch 0
559db3f -
initial commit
c3a286e