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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from alexandrainst/da-discourse-coherence-base: direct link, hf CLI and curl.
- Browser
- Download file 711 MB
-
https://huggingface.co/alexandrainst/da-discourse-coherence-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://alexandrainst/da-discourse-coherence-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/alexandrainst/da-discourse-coherence-base/resolve/main/pytorch_model.bin
711 MB
- Xet hash:
- 230e7abd7cb9d6ddf6139de9bf63d9706c16223a08cd09d2063dd3f8e5c54202
- Size of remote file:
- 711 MB
- SHA256:
- 870122cd9d3625983344684924a98734ed75f0d2b721eedb47dcd2a19a6e44c4
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