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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("msj9817/GenHancer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and library name
#1
by nielsr HF Staff - opened
This 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.
msj9817 changed pull request status to merged