Instructions to use Fabiuas/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fabiuas/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Fabiuas/test") 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("Fabiuas/test") model = AutoModelForImageClassification.from_pretrained("Fabiuas/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8233de2cb8e1842b22b40bb67838171e652f5469ae46d28a1e49cbe3677c0af7
- Size of remote file:
- 343 MB
- SHA256:
- 29297c78b72a29f07d686b47663aca7e197c3ca034a8b5c7808bd87a8cae387d
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