Instructions to use eevvgg/StanceBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eevvgg/StanceBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eevvgg/StanceBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eevvgg/StanceBERTa") model = AutoModelForSequenceClassification.from_pretrained("eevvgg/StanceBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f488e8b0ccf386fd2f3ea0e5c4617fbfc1f4b0312628af504a03a8a779db9d78
- Size of remote file:
- 3.52 kB
- SHA256:
- d6eb04bc1f47fbba36599c28631bd143c66a428e0986e8ba146a2fca51665e09
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