Instructions to use Aadithya18/emotion-Bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aadithya18/emotion-Bert with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Aadithya18/emotion-Bert", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using distilbert-base-uncased.
Model Details
Model Description
This model is fine-tuned on dair-ai/emotion dataset from huggingface. This model can now predict emotions in a better way.
- Developed by: [Sai Sangameswara Aadithya Kanduri]
- Finetuned from model [optional]: [distilbert-base-uncased]
Metrics
Accuracy: 62.09999918937683
Inference Providers NEW
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