Instructions to use RyuKT/DefSentPlus-simcse-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyuKT/DefSentPlus-simcse-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="RyuKT/DefSentPlus-simcse-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("RyuKT/DefSentPlus-simcse-roberta-large") model = AutoModel.from_pretrained("RyuKT/DefSentPlus-simcse-roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- badedf66560f359f877302df752b68adef720cbf1c65a768c4c2f2dea0d67813
- Size of remote file:
- 1.42 GB
- SHA256:
- 72cfd3f3fe19e36e6f6d3a1af8e16351c64309ebd0078d0597a54c8e4053ba15
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