Instructions to use micole66/autotrain-mercuryorsodium-1804662320 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use micole66/autotrain-mercuryorsodium-1804662320 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="micole66/autotrain-mercuryorsodium-1804662320") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("micole66/autotrain-mercuryorsodium-1804662320", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7eb1d128d8b78f5f155ff96d031cfdeab2d556c6a0bdf662a29e58039248655e
- Size of remote file:
- 110 MB
- SHA256:
- 18ff43c43876b83fc332e005b14a22506c08204f9b736da5d8438b914a3a873b
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