Instructions to use RyuKT/DefSentPlus-sncse-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyuKT/DefSentPlus-sncse-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="RyuKT/DefSentPlus-sncse-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("RyuKT/DefSentPlus-sncse-roberta-base") model = AutoModel.from_pretrained("RyuKT/DefSentPlus-sncse-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd46794da87f2e60b4a488a1f8b17f26e51e45f1c05241c713ac2c741685960d
- Size of remote file:
- 499 MB
- SHA256:
- 303388680f8547571613bc6f2985f875d0047dfdb81a94dbadb620773b1180eb
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