rodrigogelacio/autonlp-department-classification-534915130

Model Trained Using AutoNLP

• Problem type: Multi-class Classification
• Model ID: 534915130
• CO2 Emissions (in grams): 1.4862856774320061

Validation Metrics

• Loss: 0.37066277861595154
• Accuracy: 0.9204545454545454
• Macro F1: 0.9103715740678612
• Micro F1: 0.9204545454545455
• Weighted F1: 0.9196871607509906
• Macro Precision: 0.9207759152612094
• Micro Precision: 0.9204545454545454
• Weighted Precision: 0.922177301864802
• Macro Recall: 0.9055002187355129
• Micro Recall: 0.9204545454545454
• Weighted Recall: 0.9204545454545454

Usage

You can use cURL to access this model:

$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoNLP"}' https://api-inference.huggingface.co/models/rodrigogelacio/autonlp-department-classification-534915130

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("rodrigogelacio/autonlp-department-classification-534915130", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("rodrigogelacio/autonlp-department-classification-534915130", use_auth_token=True)

inputs = tokenizer("I love AutoNLP", return_tensors="pt")

outputs = model(**inputs)