Text Classification
Transformers
PyTorch
Norwegian
Norwegian Bokmål
Norwegian Nynorsk
bert
text-embeddings-inference
Instructions to use marcuskd/norbert2_sentiment_test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcuskd/norbert2_sentiment_test1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marcuskd/norbert2_sentiment_test1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marcuskd/norbert2_sentiment_test1") model = AutoModelForSequenceClassification.from_pretrained("marcuskd/norbert2_sentiment_test1") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cbdaaac623800eb360652937fe86dc272d5fb0aba78bea3b0ee9254ff97944e5
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size 498118752
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