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
Librarian Bot: Add base_model information to model
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README.md
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---
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license: cc-by-4.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: ddisco_classifier
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results: []
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datasets:
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- ajders/ddisco
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language:
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- da
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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language:
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- da
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license: cc-by-4.0
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tags:
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- generated_from_trainer
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datasets:
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- ajders/ddisco
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metrics:
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- accuracy
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base_model: NbAiLab/nb-bert-base
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model-index:
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- name: ddisco_classifier
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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