Instructions to use Sebastianpinar/lora-8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sebastianpinar/lora-8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Sebastianpinar/lora-8") 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-8") model = AutoModelForImageClassification.from_pretrained("Sebastianpinar/lora-8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 38
eb17bb9 -
Training in progress, epoch 33
8450a6f -
Training in progress, epoch 28
73998c0 -
Training in progress, epoch 24
127337d -
Training in progress, epoch 20
011892e -
Training in progress, epoch 16
8fa0e3a -
Training in progress, epoch 10
6b121d9 -
Training in progress, epoch 5
778dd80 -
Training in progress, epoch 0
a7370f5 -
initial commit
4a33385