Instructions to use dg845/univnet-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dg845/univnet-dev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dg845/univnet-dev")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("dg845/univnet-dev") model = AutoModel.from_pretrained("dg845/univnet-dev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload 3 files
Update UnivNet checkpoint (rename UnivNet classes to UnivNet*)3f85135
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Add new config and model weights (configuration refactor + bug fixes)31b6b8a -
Delete pytorch_model.bin
Remove model weights (configuration refactor + bug fixes)75ba84d
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Upload 2 files
Add config.json and pytorch bin weights file for UnivNet.7316982