Instructions to use microsoft/focalnet-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/focalnet-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="microsoft/focalnet-tiny") 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("microsoft/focalnet-tiny") model = AutoModelForImageClassification.from_pretrained("microsoft/focalnet-tiny") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
d2b1f3f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2402b2a57a987e53a9cff5f8037656283aa2ae216a1be594307d2ea19b699e3e
size 113735072
|