Instructions to use NTCAL/norbert2_sentiment_norec_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NTCAL/norbert2_sentiment_norec_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NTCAL/norbert2_sentiment_norec_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NTCAL/norbert2_sentiment_norec_4") model = AutoModelForSequenceClassification.from_pretrained("NTCAL/norbert2_sentiment_norec_4") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:8d84e562fd52d0f60d2383a86a4ed6e498aedf975c0cd76a35474f818e9f1ba4
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size 1420834872
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