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
File size: 134 Bytes
bfc33ba | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e79cfa038fb96ba7d2fbdd22cd3f4dca3e2828fab42074a262af851e0e674365
size 498663921
|