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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9b3c342e8fd556212a8885d5fe4acd9f302473cd5a070e67a118d3a210636b7
- Size of remote file:
- 1.42 GB
- SHA256:
- 33223b2f3c2fcee6351cb0027bc3451e3db1b4e8f16fef29f245592c381bdf2e
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