sabhashanki/text_classification-roberta_base_sept2022

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 2396974952
• CO2 Emissions (in grams): 2.0293

Validation Metrics

• Loss: 0.656
• Accuracy: 0.846
• Macro F1: 0.826
• Micro F1: 0.846
• Weighted F1: 0.842
• Macro Precision: 0.867
• Micro Precision: 0.846
• Weighted Precision: 0.861
• Macro Recall: 0.829
• Micro Recall: 0.846
• Weighted Recall: 0.846

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 AutoTrain"}' https://api-inference.huggingface.co/models/sabhashanki/autotrain-topic-prediction-latest-2396974952

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("sabhashanki/autotrain-topic-prediction-latest-2396974952", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("sabhashanki/autotrain-topic-prediction-latest-2396974952", use_auth_token=True)

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

outputs = model(**inputs)