Instructions to use Sebastianpinar/lora-18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sebastianpinar/lora-18 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Sebastianpinar/lora-18") 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-18") model = AutoModelForImageClassification.from_pretrained("Sebastianpinar/lora-18", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 36
7b71007 -
Training in progress, epoch 32
b87e535 -
Training in progress, epoch 28
1958a3a -
Training in progress, epoch 22
b5e4192 -
Training in progress, epoch 18
8083450 -
Training in progress, epoch 13
00369af -
Training in progress, epoch 9
af82632 -
Training in progress, epoch 5
1bc7b98 -
Training in progress, epoch 0
a7908ee -
initial commit
19381ba