Instructions to use PrachiPatel/text_emotion_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrachiPatel/text_emotion_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PrachiPatel/text_emotion_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PrachiPatel/text_emotion_classification") model = AutoModelForSequenceClassification.from_pretrained("PrachiPatel/text_emotion_classification") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Label0=sad Label1=joy Label2=love Label3=anger Label4=fear Label5=Surprise label6=neutral label7=disgust
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