Instructions to use princeton-nlp/sup-simcse-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use princeton-nlp/sup-simcse-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="princeton-nlp/sup-simcse-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/sup-simcse-roberta-large") model = AutoModel.from_pretrained("princeton-nlp/sup-simcse-roberta-large") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e58841576123fee0afad9d77203b1d2c8bbe977c4fceb7d35339c9a3561b9382
- Size of remote file:
- 1.42 GB
- SHA256:
- b97bbd5aa01a5ab66f6e2d8bb96bb78aa01f81238787cfa9dc28b3f950f3da78
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