Instructions to use NTCAL/norbert2_sentiment_norec_13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NTCAL/norbert2_sentiment_norec_13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NTCAL/norbert2_sentiment_norec_13")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NTCAL/norbert2_sentiment_norec_13") model = AutoModelForSequenceClassification.from_pretrained("NTCAL/norbert2_sentiment_norec_13", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Create stats.txt
14e6ce2 -
Upload BertForSequenceClassification
d5ec49a -
update model card README.md
9ab8b31 -
End of training
f2202b5 -
Training in progress, epoch 1
0e8ee67 -
initial commit
f56e106