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:
- f4f37b69f25def571e4b95b78b0eafb59dd8bbb0381def4f15d25c0f322a206a
- Size of remote file:
- 499 MB
- SHA256:
- 98f9fa82924f7984eb7d42f3e98de8e671904520bd11acf0a0e4cf18c211b8bf
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