Text Classification
Transformers
PyTorch
Danish
bert
sentiment
emotion
danish
text-embeddings-inference
Instructions to use NikolajMunch/danish-emotion-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NikolajMunch/danish-emotion-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NikolajMunch/danish-emotion-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NikolajMunch/danish-emotion-classification") model = AutoModelForSequenceClassification.from_pretrained("NikolajMunch/danish-emotion-classification") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
2ece5cc | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7687a467edece7bb04b40eb030b7938ebd845294df4f377a1ccccb09dbb1d158
size 442571949
|