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Model: textattack/distilbert-base-uncased-QQP
pytorch distilbert text-classification
text-classification mask_token: [MASK]
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textattack/distilbert-base-uncased-QQP textattack/distilbert-base-uncased-QQP
494 downloads
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pytorch

tf

Contributed by

TextAttack
2 team members · 82 models

How to use this model directly from the 🤗/transformers library: 

			
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			from transformers import AutoTokenizer, AutoModelForSequenceClassification

			tokenizer = AutoTokenizer.from_pretrained("textattack/distilbert-base-uncased-QQP")
			
			model = AutoModelForSequenceClassification.from_pretrained("textattack/distilbert-base-uncased-QQP")
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List of model files
File name Last modified File size
config.json Tue, 09 Jun 2020 16:47:44 GMT 484.0B
eval_results_qqp.txt Tue, 09 Jun 2020 16:47:45 GMT 138.0B
pytorch_model.bin Tue, 09 Jun 2020 16:47:41 GMT 255.4MB
special_tokens_map.json Tue, 09 Jun 2020 16:47:40 GMT 112.0B
tokenizer_config.json Tue, 09 Jun 2020 16:47:40 GMT 48.0B
training_args.bin Tue, 09 Jun 2020 16:47:40 GMT 1.0KB
vocab.txt Tue, 09 Jun 2020 16:47:44 GMT 226.1KB
Done