Text Classification
Transformers
PyTorch
TensorFlow
JAX
Safetensors
English
distilbert
emotion
Eval Results (legacy)
Instructions to use bhadresh-savani/distilbert-base-uncased-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bhadresh-savani/distilbert-base-uncased-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bhadresh-savani/distilbert-base-uncased-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bhadresh-savani/distilbert-base-uncased-emotion") model = AutoModelForSequenceClassification.from_pretrained("bhadresh-savani/distilbert-base-uncased-emotion") - Inference
- Notebooks
- Google Colab
- Kaggle
How to calculate the score?
#8 opened almost 2 years ago
by
Lawrencexu
Request: DOI
#7 opened over 2 years ago
by
XiaLinhan
How to evaluate performance of this model?
1
#5 opened about 3 years ago
by
MorphzZ
no neutral predictions
➕ 1
#4 opened about 3 years ago
by
FlorinAndrei
License Question
1
#1 opened almost 4 years ago
by
mattan