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da-subjectivivity-classification-base
alexandrainst/da-subjectivivity-classification-base
da-subjectivivity-classification-base is a text classification model from alexandrainst. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
The BERT Tone model detects whether a text (in Danish) is subjective or objective. The model is based on the finetuning of the pretrained Danish BERT model by BotXO.
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Model card
From the Hugging Face model README
Danish BERT Tone for the detection of subjectivity/objectivity
The BERT Tone model detects whether a text (in Danish) is subjective or objective. The model is based on the finetuning of the pretrained Danish BERT model by BotXO.
See the DaNLP documentation for more details.
Here is how to use the model:
from transformers import BertTokenizer, BertForSequenceClassification
model = BertForSequenceClassification.from_pretrained("alexandrainst/da-subjectivivity-classification-base")
tokenizer = BertTokenizer.from_pretrained("alexandrainst/da-subjectivivity-classification-base")
Training data
The data used for training come from the Twitter Sentiment and EuroParl sentiment 2 datasets.
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- da
- Created
- Mar 2, 2022
- Updated
- Sep 20, 2023