Text Classification
Transformers
Safetensors
document-scoring
education
norwegian
nordic
🇪🇺 Region: EU
Instructions to use NbAiLab/nb-embed-edu-scorer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/nb-embed-edu-scorer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NbAiLab/nb-embed-edu-scorer")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NbAiLab/nb-embed-edu-scorer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download __pycache__/inference.cpython-312.pyc from NbAiLab/nb-embed-edu-scorer: direct link, hf CLI and curl.
- Browser
- Download file 4.99 kB
-
https://huggingface.co/NbAiLab/nb-embed-edu-scorer/resolve/main/__pycache__/inference.cpython-312.pyc
- Command line
-
hf download hf://NbAiLab/nb-embed-edu-scorer/__pycache__/inference.cpython-312.pyc
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curl -L -o inference.cpython-312.pyc https://huggingface.co/NbAiLab/nb-embed-edu-scorer/resolve/main/__pycache__/inference.cpython-312.pyc
4.99 kB
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