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senda
larskjeldgaard/senda
senda is a text classification model from larskjeldgaard. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-4.0.
This model detects polarity ('positive', 'neutral', 'negative') of danish texts.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-4.0
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- May 19, 2021
- SHA
- 8de8d068
Try a prompt
Model card
From the Hugging Face model README
Danish BERT fine-tuned for Sentiment Analysis (Polarity)
This model detects polarity ('positive', 'neutral', 'negative') of danish texts.
It is trained and tested on Tweets annotated by Alexandra Institute.
Here is an example on how to load the model in PyTorch using the 🤗Transformers library:
from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
tokenizer = AutoTokenizer.from_pretrained("larskjeldgaard/senda")
model = AutoModelForSequenceClassification.from_pretrained("larskjeldgaard/senda")
# create 'senda' sentiment analysis pipeline
senda_pipeline = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)
senda_pipeline("Sikke en dejlig dag det er i dag")
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-4.0
- Languages
- da
- Created
- Mar 2, 2022
- Updated
- May 19, 2021