
# What is this?

BERT classification model for short customer reviews written in Danish. 

The model uses 5 classes ranging from 1-5 stars:

* ⭐ (very poor)
* ⭐⭐ (poor)
* ⭐⭐⭐ (neutral)
* ⭐⭐⭐⭐ (good)
* ⭐⭐⭐⭐⭐ (very good)

The model is fine-tuned using the pre-trained [Danish BERT model]("Maltehb/danish-bert-botxo").

# How to use

Test the model using the [🤗Transformers](https://github.com/huggingface/transformers) library pipeline:

```python
from transformers import pipeline

classifier = pipeline("sentiment-analysis", model="KennethTM/danish-bert-review-sentiment")
classifier("Intet virkede og ingen hjælp at hente.")

#[{'label': '⭐', 'score': 0.4953940808773041}]
```

Or load it using the Auto* classes:

```python
from transformers import AutoTokenizer, AutoModelForSequenceClassification

model = AutoModelForSequenceClassification.from_pretrained("KennethTM/danish-bert-review-sentiment")
tokenizer = AutoTokenizer.from_pretrained("KennethTM/danish-bert-review-sentiment")
```

{"language": ["da"], "license": "cc-by-4.0", "pipeline_tag": "text-classification", "widget": [{"text": "Rigtig god service!"}]}
transformers pytorch safetensors bert text-classification da license:cc-by-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #bert #text-classification #da #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #region-us 


# What is this?

BERT classification model for short customer reviews written in Danish. 

The model uses 5 classes ranging from 1-5 stars:

* ⭐ (very poor)
* ⭐⭐ (poor)
* ⭐⭐⭐ (neutral)
* ⭐⭐⭐⭐ (good)
* ⭐⭐⭐⭐⭐ (very good)

The model is fine-tuned using the pre-trained Danish BERT model.

# How to use

Test the model using the Transformers library pipeline:



Or load it using the Auto* classes:



# What is this?

BERT classification model for short customer reviews written in Danish. 

The model uses 5 classes ranging from 1-5 stars:

* ⭐ (very poor)
* ⭐⭐ (poor)
* ⭐⭐⭐ (neutral)
* ⭐⭐⭐⭐ (good)
* ⭐⭐⭐⭐⭐ (very good)

The model is fine-tuned using the pre-trained Danish BERT model. # How to use

Test the model using the Transformers library pipeline:



Or load it using the Auto* classes:
TAGS
#transformers #pytorch #safetensors #bert #text-classification #da #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #region-us 
 # What is this?

BERT classification model for short customer reviews written in Danish. 

The model uses 5 classes ranging from 1-5 stars:

* ⭐ (very poor)
* ⭐⭐ (poor)
* ⭐⭐⭐ (neutral)
* ⭐⭐⭐⭐ (good)
* ⭐⭐⭐⭐⭐ (very good)

The model is fine-tuned using the pre-trained Danish BERT model. # How to use

Test the model using the Transformers library pipeline:



Or load it using the Auto* classes: