Instructions to use sofom/Style-Embedding-m4_extended_peerread with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofom/Style-Embedding-m4_extended_peerread with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sofom/Style-Embedding-m4_extended_peerread")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sofom/Style-Embedding-m4_extended_peerread") model = AutoModel.from_pretrained("sofom/Style-Embedding-m4_extended_peerread") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1b86f51e059999eed369b28ccb56f1a5a6f4963fd559e439d8c418785bee251
- Size of remote file:
- 249 MB
- SHA256:
- d7d379af6929798bc85fdc9c9d851d1eec98e3c1f955cf848784510697ca5038
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