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