Instructions to use Sebastianpinar/lora-75 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sebastianpinar/lora-75 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Sebastianpinar/lora-75") 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-75") model = AutoModelForImageClassification.from_pretrained("Sebastianpinar/lora-75", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 46
df8f65b -
Training in progress, epoch 44
3968603 -
Training in progress, epoch 42
8b3cd7a -
Training in progress, epoch 38
740bb6a -
Training in progress, epoch 36
512cb96 -
Training in progress, epoch 32
444eae5 -
Training in progress, epoch 30
0086906 -
Training in progress, epoch 26
8b88ab4 -
Training in progress, epoch 24
f350445 -
Training in progress, epoch 20
1b290cf -
Training in progress, epoch 18
29ad3ce -
Training in progress, epoch 14
89fb6f0 -
Training in progress, epoch 12
68d27de -
Training in progress, epoch 8
aa618b3 -
Training in progress, epoch 6
d560877 -
Training in progress, epoch 4
b429540 -
Training in progress, epoch 0
ac027b3 -
initial commit
cc6cf2b