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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("miittnnss/idk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (007f51848b5108aec4bf861ea76debf3a0d08c7e) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>0b10ea7
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Commit From AutoTrain
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initial commit
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