Text Classification
Transformers
PyTorch
Safetensors
Norwegian
Norwegian Bokmål
Norwegian Nynorsk
bert
Generated from Trainer
text-embeddings-inference
Instructions to use thusken/nb-bert-large-user-needs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thusken/nb-bert-large-user-needs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thusken/nb-bert-large-user-needs")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thusken/nb-bert-large-user-needs") model = AutoModelForSequenceClassification.from_pretrained("thusken/nb-bert-large-user-needs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0434ee5511e05f3a84c2889d652c5bb1c5ee677fe4aa7089c832a610bbe5f70
- Size of remote file:
- 1.42 GB
- SHA256:
- 7de4a06678ab22a1bb4488c3ec9ab06a67228b6350625558f86e76006beb1f20
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