Instructions to use bsingh/roberta_goEmotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bsingh/roberta_goEmotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bsingh/roberta_goEmotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bsingh/roberta_goEmotion") model = AutoModelForSequenceClassification.from_pretrained("bsingh/roberta_goEmotion") - Notebooks
- Google Colab
- Kaggle
Commit History
Update README.md 5c7c36e
Update README.md af28057
Update README.md 3ccca8b
Update README.md d0afa8e
Update README.md b5aefb3
Create README.md 9a7d2ee
setting the model card d6e362c
bhanu commited on