gender-classifier
Collection
7 items • Updated
How to use IsGarrido/gender_classifier_multi_xlmroberta_large with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="IsGarrido/gender_classifier_multi_xlmroberta_large") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("IsGarrido/gender_classifier_multi_xlmroberta_large")
model = AutoModelForSequenceClassification.from_pretrained("IsGarrido/gender_classifier_multi_xlmroberta_large")This model was fine-tuned to classify text into: male, female, neutral
| Metric | Value |
|---|---|
| loss | 0.4028 |
| accuracy | 0.8830 |
| f1 | 0.8827 |
| precision | 0.8853 |
| recall | 0.8831 |
| runtime | 43.8849 |
| samples_per_second | 273.4430 |
| steps_per_second | 34.1800 |
| epoch | 3.0000 |
from transformers import pipeline
# Load the model directly from this folder or HF Hub
classifier = pipeline('text-classification', model='.')
print(classifier('She is a great engineer.'))
Base model
FacebookAI/xlm-roberta-large