Instructions to use flyswot/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flyswot/test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="flyswot/test2") 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("flyswot/test2") model = AutoModelForImageClassification.from_pretrained("flyswot/test2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 838b2ee191b1f381c5dcd083aac6b7b7c4b2ae1da8b6d817bbacccb7950060a6
- Size of remote file:
- 2.99 kB
- SHA256:
- e247f8e491545c65e4f901a56ea9d0ddb31458eaed6ae8753e0f66fdb65ca7b4
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