Instructions to use EMBO/sd-panelization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EMBO/sd-panelization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="EMBO/sd-panelization")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("EMBO/sd-panelization") model = AutoModelForTokenClassification.from_pretrained("EMBO/sd-panelization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from EMBO/sd-panelization: direct link, hf CLI and curl.
- Browser
- Download file 844 Bytes
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https://huggingface.co/EMBO/sd-panelization/resolve/main/.gitattributes
- Command line
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hf download hf://EMBO/sd-panelization/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/EMBO/sd-panelization/resolve/main/.gitattributes
844 Bytes
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