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
Download training_args.bin from thusken/nb-bert-large-user-needs: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/thusken/nb-bert-large-user-needs/resolve/refs%2Fpr%2F2/training_args.bin
- Command line
-
hf download hf://thusken/nb-bert-large-user-needs@refs/pr/2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/thusken/nb-bert-large-user-needs/resolve/refs%2Fpr%2F2/training_args.bin
3.06 kB
- Xet hash:
- 99b88f3a2d2969ad05901d3f663a5ab337d1442fd82c6daeffb20b12edb951d8
- Size of remote file:
- 3.06 kB
- SHA256:
- 90f2ad9cbd8f5fc0f32a24652165bb4c99137ec14dc75e10fabe7470da95b7f4
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