Instructions to use Sebastianpinar/lora-14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sebastianpinar/lora-14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Sebastianpinar/lora-14") 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-14") model = AutoModelForImageClassification.from_pretrained("Sebastianpinar/lora-14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 36
ae0f2e3 -
Training in progress, epoch 32
fedbe3b -
Training in progress, epoch 24
c7bf96e -
Training in progress, epoch 20
77ced52 -
Training in progress, epoch 14
45b820d -
Training in progress, epoch 10
9e58f4b -
Training in progress, epoch 5
2a7e956 -
Training in progress, epoch 0
61b3523 -
initial commit
d63917d