Instructions to use sofom/Style-Embedding-m4_extended_wikipedia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofom/Style-Embedding-m4_extended_wikipedia with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sofom/Style-Embedding-m4_extended_wikipedia")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sofom/Style-Embedding-m4_extended_wikipedia") model = AutoModel.from_pretrained("sofom/Style-Embedding-m4_extended_wikipedia", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c4b646a253e8ea3cca7eaa9d3c2efc24457af3c0bd48a50840e29b0f9440c41
- Size of remote file:
- 249 MB
- SHA256:
- 8b9e593a0e463dbbafa0fd5b22a20a786d7268791a6fa654ed4125aebc164858
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