Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
Danish
bert
Generated from Trainer
text-embeddings-inference
Instructions to use alexandrainst/da-discourse-coherence-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexandrainst/da-discourse-coherence-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alexandrainst/da-discourse-coherence-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alexandrainst/da-discourse-coherence-base") model = AutoModelForSequenceClassification.from_pretrained("alexandrainst/da-discourse-coherence-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e076905c69a3dcdb0d7ec98dc0027869b30365f1ec89938880b9d245ddfd8cd2
- Size of remote file:
- 3.58 kB
- SHA256:
- 125b293d97b50e347eea8c73110a91ed80614e51f7d280db6511ebb15a0de86e
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