crcb/isear_bert

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 786224257
• CO2 Emissions (in grams): 0.026027055434994496

Validation Metrics

• Loss: 0.8348872065544128
• Accuracy: 0.7272727272727273
• Macro F1: 0.7230931630686932
• Micro F1: 0.7272727272727273
• Weighted F1: 0.7236599456423468
• Macro Precision: 0.7328252157220334
• Micro Precision: 0.7272727272727273
• Weighted Precision: 0.7336599708829821
• Macro Recall: 0.7270448163292604
• Micro Recall: 0.7272727272727273
• Weighted Recall: 0.7272727272727273

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/crcb/autotrain-isear_bert-786224257

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("crcb/autotrain-isear_bert-786224257", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("crcb/autotrain-isear_bert-786224257", use_auth_token=True)

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

outputs = model(**inputs)