Instructions to use sofom/Style-Embedding-hyperaram with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofom/Style-Embedding-hyperaram with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sofom/Style-Embedding-hyperaram")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sofom/Style-Embedding-hyperaram") model = AutoModel.from_pretrained("sofom/Style-Embedding-hyperaram") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c423fec1fc5aab809a6f2f9bcf7007f4f61350b8bce0ed0eb052667b8295e5c
- Size of remote file:
- 249 MB
- SHA256:
- 776ac92d8e8691d369d04343e9d4230df5425149d09ff48338fd090a09bcf1a1
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