Instructions to use RyuKT/DefSentPlus-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyuKT/DefSentPlus-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="RyuKT/DefSentPlus-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("RyuKT/DefSentPlus-roberta-base") model = AutoModel.from_pretrained("RyuKT/DefSentPlus-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a285efec9926bc3dc73cb0fdce39c61f46a50b8818143e1a81765a827edc0d2a
- Size of remote file:
- 499 MB
- SHA256:
- e79cfa038fb96ba7d2fbdd22cd3f4dca3e2828fab42074a262af851e0e674365
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