ClinicalNLP/SDOHv7

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 3701198597
• CO2 Emissions (in grams): 0.0113

Validation Metrics

• Loss: 0.057
• Accuracy: 0.990
• Macro F1: 0.990
• Micro F1: 0.990
• Weighted F1: 0.990
• Macro Precision: 0.990
• Micro Precision: 0.990
• Weighted Precision: 0.991
• Macro Recall: 0.990
• Micro Recall: 0.990
• Weighted Recall: 0.990

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://huggingface.co/proxy/api-inference.huggingface.co/models/reachosen/autotrain-sdohv7-3701198597

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("reachosen/autotrain-sdohv7-3701198597", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("reachosen/autotrain-sdohv7-3701198597", use_auth_token=True)

inputs = tokenizer("The Patient is homeless", return_tensors="pt")

outputs = model(**inputs)