Instructions to use contemmcm/6092b68db85e70fdf09a4e82345627f1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use contemmcm/6092b68db85e70fdf09a4e82345627f1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="contemmcm/6092b68db85e70fdf09a4e82345627f1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("contemmcm/6092b68db85e70fdf09a4e82345627f1") model = AutoModelForSequenceClassification.from_pretrained("contemmcm/6092b68db85e70fdf09a4e82345627f1") - Notebooks
- Google Colab
- Kaggle