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
- Xet hash:
- 05810c26540a6656b986f5cb4ac05f1c463583a4389faf0776423146aab74206
- Size of remote file:
- 443 MB
- SHA256:
- 7687a467edece7bb04b40eb030b7938ebd845294df4f377a1ccccb09dbb1d158
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