unsup-simcse-bert-base-uncased

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princeton-nlp
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Quick Summary

- Developed by: Princeton NLP group - Shared by [Optional]: Hugging Face - Model type: Feature Extraction - Language(s) (NLP): More information needed - License...

Code Examples

How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
How to Get Started with the Modelpythontransformers
from transformers import AutoTokenizer, AutoModel
 
tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")
 
model = AutoModel.from_pretrained("princeton-nlp/unsup-simcse-bert-base-uncased")

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