Instructions to use sofom/Style-Embedding-multitudev2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofom/Style-Embedding-multitudev2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sofom/Style-Embedding-multitudev2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sofom/Style-Embedding-multitudev2") model = AutoModel.from_pretrained("sofom/Style-Embedding-multitudev2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15a77034fd5bd7c7f077e5ffd2089d24fe73979e672a7803fe97e3c898f701a9
- Size of remote file:
- 249 MB
- SHA256:
- 4fc119791526323db2f22d9aded932800f31e154766225e62ff5e0f8e4a8b9a1
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