Instructions to use miittnnss/idk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use miittnnss/idk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="miittnnss/idk") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("miittnnss/idk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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example_title: Palace
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co2_eq_emissions:
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emissions: 1.7850904815735922
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---
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# Model Trained Using AutoTrain
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example_title: Palace
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emissions: 1.7850904815735922
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library_name: transformers
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# Model Trained Using AutoTrain
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