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bert-base-swedish-cased-sentiment
marma/bert-base-swedish-cased-sentiment
bert-base-swedish-cased-sentiment is a text classification model from marma. Use it when you need a label for a piece of text. It is set up for transformers.
Experimental sentiment analysis based on ~20k of App Store reviews in Swedish.
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88.2K
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Repo size
1.5 GB
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- May 19, 2021
- SHA
- 40c98c5a
Try a prompt
Model card
From the Hugging Face model README
Experimental sentiment analysis based on ~20k of App Store reviews in Swedish.
Usage
from transformers import pipeline
>>> sa = pipeline('sentiment-analysis', model='marma/bert-base-swedish-cased-sentiment')
>>> sa('Det här är ju fantastiskt!')
[{'label': 'POSITIVE', 'score': 0.9974609613418579}]
>>> sa('Den här appen suger!')
[{'label': 'NEGATIVE', 'score': 0.998340368270874}]
>>> sa('Det är fruktansvärt.')
[{'label': 'NEGATIVE', 'score': 0.998340368270874}]
>>> sa('Det är fruktansvärt bra.')
[{'label': 'POSITIVE', 'score': 0.998340368270874}]
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Mar 2, 2022
- Updated
- May 19, 2021