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") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 565054008a642b7433ac90aa52310ab39ebcf1a5a8dc1b6f7fc43eb23e88be6b
- Size of remote file:
- 499 MB
- SHA256:
- d8d9c4de04e014b5bab9eeadc461b045b2a486bd709d74d5d4913692d62524ee
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