Instructions to use Sebastianpinar/lora2-38 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sebastianpinar/lora2-38 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Sebastianpinar/lora2-38") 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/lora2-38") model = AutoModelForImageClassification.from_pretrained("Sebastianpinar/lora2-38", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 45
59e7dac -
Training in progress, epoch 44
586ec8a -
Training in progress, epoch 41
24aa47a -
Training in progress, epoch 40
66b2050 -
Training in progress, epoch 37
431aa7f -
Training in progress, epoch 36
b45f68e -
Training in progress, epoch 33
6339f93 -
Training in progress, epoch 32
c06b246 -
Training in progress, epoch 29
13f9171 -
Training in progress, epoch 28
aa46c6d -
Training in progress, epoch 25
2b76767 -
Training in progress, epoch 24
61651f6 -
Training in progress, epoch 21
ad64b6b -
Training in progress, epoch 20
162f941 -
Training in progress, epoch 12
0f1c5cc -
Training in progress, epoch 10
19d92a5 -
Training in progress, epoch 8
b005707 -
Training in progress, epoch 6
2b95edd -
Training in progress, epoch 4
1639af0 -
Training in progress, epoch 2
eb6f220 -
Training in progress, epoch 0
de4d2ed -
initial commit
2bcd4f5