google-research-datasets/go_emotions
Viewer • Updated • 265k • 16.9k • 269
How to use addy88/xtremedistil-l6-h384-emotion-classifier with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="addy88/xtremedistil-l6-h384-emotion-classifier") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("addy88/xtremedistil-l6-h384-emotion-classifier")
model = AutoModelForSequenceClassification.from_pretrained("addy88/xtremedistil-l6-h384-emotion-classifier", device_map="auto")This model is a fine-tuned version of microsoft/xtremedistil-l6-h384-uncased on the go_emotions dataset.
More information needed
More information needed
More information needed
The following hyperparameters were used during training: