Text Classification
Transformers
Safetensors
English
deberta-v2
emotion-classification
multi-label-classification
text-embeddings-inference
Instructions to use JamieYCR/text-emotion-detector-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JamieYCR/text-emotion-detector-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JamieYCR/text-emotion-detector-final")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JamieYCR/text-emotion-detector-final") model = AutoModelForSequenceClassification.from_pretrained("JamieYCR/text-emotion-detector-final") - Notebooks
- Google Colab
- Kaggle
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