Instructions to use contemmcm/d80397db0ea0d34eec1577aaae2d31cd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use contemmcm/d80397db0ea0d34eec1577aaae2d31cd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="contemmcm/d80397db0ea0d34eec1577aaae2d31cd")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("contemmcm/d80397db0ea0d34eec1577aaae2d31cd") model = AutoModelForSequenceClassification.from_pretrained("contemmcm/d80397db0ea0d34eec1577aaae2d31cd") - Notebooks
- Google Colab
- Kaggle
Ctrl+K