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