Instructions to use anhuu/argument_classification_stance_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anhuu/argument_classification_stance_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anhuu/argument_classification_stance_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anhuu/argument_classification_stance_roberta") model = AutoModelForSequenceClassification.from_pretrained("anhuu/argument_classification_stance_roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64d531a5a242b2e52f37ec8d4e922ee41dc530da5e919085a9f296167eaca27e
- Size of remote file:
- 4.41 kB
- SHA256:
- e0dfd6ecc56c1dfd67bf6295c42d9a27e7f93f160169cf536606f75c9611877f
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