Instructions to use Sleoruiz/roberta-fine-tuned-text-classification-SL-data-augmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sleoruiz/roberta-fine-tuned-text-classification-SL-data-augmentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sleoruiz/roberta-fine-tuned-text-classification-SL-data-augmentation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sleoruiz/roberta-fine-tuned-text-classification-SL-data-augmentation") model = AutoModelForSequenceClassification.from_pretrained("Sleoruiz/roberta-fine-tuned-text-classification-SL-data-augmentation") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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