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