Instructions to use nonsodev/datrix-test-image-cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nonsodev/datrix-test-image-cls with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nonsodev/datrix-test-image-cls") 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("nonsodev/datrix-test-image-cls") model = AutoModelForImageClassification.from_pretrained("nonsodev/datrix-test-image-cls", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
a1d774e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:158af02314c623703d03bd93d8627a5ff483fe7ed7e7d438cf9f4ffe30e8d5be
size 5265
|