Instructions to use KingZack/in-class-emotion-classifier-330 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KingZack/in-class-emotion-classifier-330 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KingZack/in-class-emotion-classifier-330")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KingZack/in-class-emotion-classifier-330") model = AutoModelForSequenceClassification.from_pretrained("KingZack/in-class-emotion-classifier-330") - Notebooks
- Google Colab
- Kaggle