Instructions to use anhuu/argument_relation_classification_UKP_sentence_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anhuu/argument_relation_classification_UKP_sentence_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anhuu/argument_relation_classification_UKP_sentence_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anhuu/argument_relation_classification_UKP_sentence_roberta") model = AutoModelForSequenceClassification.from_pretrained("anhuu/argument_relation_classification_UKP_sentence_roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c655d3b17d040ac352b7df02264346e4741584ee21c26a3eecd569efd8e0ea24
- Size of remote file:
- 4.47 kB
- SHA256:
- 8ba04761d6ca656742bf66904f4afaeff8356923e04ac6da351169c04d9275c8
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