Instructions to use sofom/Style-Embedding-m4_extended_wikihow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofom/Style-Embedding-m4_extended_wikihow with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sofom/Style-Embedding-m4_extended_wikihow")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sofom/Style-Embedding-m4_extended_wikihow") model = AutoModel.from_pretrained("sofom/Style-Embedding-m4_extended_wikihow") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e627de5b71a2860869027ca74c7ed4a0d8da2fba42ec37570ff5fe8106de56d
- Size of remote file:
- 249 MB
- SHA256:
- 048ec75e5f4213ab1579c206612187aea2213d2ffed06730cfd34d68f7f01ec4
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