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Model: daigo/bert-base-japanese-sentiment
pytorch bert text-classification ja
text-classification mask_token: [MASK]
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daigo/bert-base-japanese-sentiment daigo/bert-base-japanese-sentiment
228 downloads
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pytorch

tf

Contributed by

daigo daigo
1 model

How to use this model directly from the πŸ€—/transformers library: 

			
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			from transformers import AutoTokenizer, AutoModelForSequenceClassification

			tokenizer = AutoTokenizer.from_pretrained("daigo/bert-base-japanese-sentiment")
			
			model = AutoModelForSequenceClassification.from_pretrained("daigo/bert-base-japanese-sentiment")
List all files in model Β· See raw config file
Update on GitHub

binary classification

Usage

print(pipeline("sentiment-analysis",model="daigo/bert-base-japanese-sentiment",tokenizer="daigo/bert-base-japanese-sentiment")("私は幸福である。"))

[{'label': 'ポジティブ', 'score': 0.98430425}]
List of model files
File name Last modified File size
config.json Tue, 28 Apr 2020 12:30:50 GMT 1.2KB
pytorch_model.bin Tue, 28 Apr 2020 12:30:38 GMT 422.0MB
special_tokens_map.json Tue, 28 Apr 2020 12:30:52 GMT 112.0B
tokenizer_config.json Tue, 28 Apr 2020 12:30:48 GMT 111.0B
training_args.bin Tue, 28 Apr 2020 12:30:50 GMT 1.2KB
vocab.txt Tue, 28 Apr 2020 12:30:51 GMT 251.7KB
Done