Text Classification
Transformers
PyTorch
TensorFlow
JAX
Safetensors
English
roberta
emotion
Eval Results (legacy)
text-embeddings-inference
Instructions to use bhadresh-savani/roberta-base-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bhadresh-savani/roberta-base-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bhadresh-savani/roberta-base-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bhadresh-savani/roberta-base-emotion") model = AutoModelForSequenceClassification.from_pretrained("bhadresh-savani/roberta-base-emotion", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 664b0a9d34db085df492a94adf5cddab21bafb91183053d47d318ee860c4bcd7
- Size of remote file:
- 499 MB
- SHA256:
- fc1a3606baa30b805339fdcc00ddbd39e8743056eaa28adc95c1fc5c1926157d
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