hr-elrond/autotrain-p2_finbert_training_100-56875131853

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 56875131853
• CO2 Emissions (in grams): 0.2967

Validation Metrics

• Loss: 0.068
• Accuracy: 0.984
• Precision: 0.993
• Recall: 0.983
• AUC: 0.996
• F1: 0.988

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/hr-elrond/autotrain-p2_finbert_training_100-56875131853

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("hr-elrond/autotrain-p2_finbert_training_100-56875131853", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("hr-elrond/autotrain-p2_finbert_training_100-56875131853", use_auth_token=True)

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

outputs = model(**inputs)