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:
- c69ae0cdffa83a6c27fae27958049ab7d720fd1caf2d39484dafa80a9dd090de
- Size of remote file:
- 3.18 kB
- SHA256:
- 134212671a4ad926c89dd99784af66be031a01baf668b5cca4b09de0eeb05f32
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