Instructions to use Fu-chiang/bit-50-Otisis-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fu-chiang/bit-50-Otisis-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Fu-chiang/bit-50-Otisis-binary") 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("Fu-chiang/bit-50-Otisis-binary") model = AutoModelForImageClassification.from_pretrained("Fu-chiang/bit-50-Otisis-binary") - Notebooks
- Google Colab
- Kaggle
README.md exists but content is empty.
- Downloads last month
- 9