Instructions to use Sebastianpinar/lora2-63 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sebastianpinar/lora2-63 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Sebastianpinar/lora2-63") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Sebastianpinar/lora2-63") model = AutoModelForImageClassification.from_pretrained("Sebastianpinar/lora2-63") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): de8822a
Training in progress, epoch 40
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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