Instructions to use anhuu/argument_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_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_classification_UKP_sentence_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anhuu/argument_classification_UKP_sentence_roberta") model = AutoModelForSequenceClassification.from_pretrained("anhuu/argument_classification_UKP_sentence_roberta") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
pytorch_model.bin
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runs/Nov28_12-35-51_438278096e32/events.out.tfevents.1701174957.438278096e32.214.1
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