Instructions to use ayjays132/EnhancerModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayjays132/EnhancerModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ayjays132/EnhancerModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ayjays132/EnhancerModel") model = AutoModel.from_pretrained("ayjays132/EnhancerModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40ca4b4ad7d27969e2fd70f7b4e0d4db20369757e502acc6665a65992c29bbb4
- Size of remote file:
- 3.04 GB
- SHA256:
- 8f75896aa8fc439dd943518ba3bd6ca65ecde20243dd1cd8c8d60995e8b86764
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