Instructions to use msj9817/GenHancer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msj9817/GenHancer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="msj9817/GenHancer")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("msj9817/GenHancer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add pipeline tag and library name
Verified signatureThis PR adds the `pipeline_tag` and `library_name` to the model card metadata. The `pipeline_tag` is set to `image-feature-extraction` as the model enhances image features. The `library_name` is set to `transformers` given the model's compatibility.49d8229
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