Instructions to use rajevan123/STS-Conventional-Fine-Tuning-pipe-data-augmentation-testing-123-revised-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rajevan123/STS-Conventional-Fine-Tuning-pipe-data-augmentation-testing-123-revised-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rajevan123/STS-Conventional-Fine-Tuning-pipe-data-augmentation-testing-123-revised-final")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rajevan123/STS-Conventional-Fine-Tuning-pipe-data-augmentation-testing-123-revised-final") model = AutoModelForSequenceClassification.from_pretrained("rajevan123/STS-Conventional-Fine-Tuning-pipe-data-augmentation-testing-123-revised-final") - Notebooks
- Google Colab
- Kaggle