dair-ai/emotion
Viewer • Updated • 437k • 37.9k • 449
How to use keefezowie/sa_distilBERT with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="keefezowie/sa_distilBERT") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("keefezowie/sa_distilBERT")
model = AutoModelForSequenceClassification.from_pretrained("keefezowie/sa_distilBERT")This model is a fine-tuned version of bhadresh-savani/distilbert-base-uncased-emotion on the emotion dataset.
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 125 | 0.1740 | 0.927 |