Instructions to use ebayes/test-fern-amazonas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ebayes/test-fern-amazonas with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ebayes/test-fern-amazonas") 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("ebayes/test-fern-amazonas") model = AutoModelForImageClassification.from_pretrained("ebayes/test-fern-amazonas", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f14265cc462779ee178f4251f471f6934dbe69fb39ce191932697b80f3618a5d
- Size of remote file:
- 4.98 kB
- SHA256:
- 9ac6a121297d299501347f1f41175e2d77b76c37c702f56f3ae7c4dde857152d
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