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:
- 97d6a6f3a35911b33667aa2199979032b41bf52e3bd91e849ef2bf7df128bedc
- Size of remote file:
- 970 Bytes
- SHA256:
- 84d971ddb18d447e6a50974ba106c8c5822586cff07fc65de7ee8d7499121eaa
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