Model Trained Using biobert

Problem type: Binary Classification
Model ID: 896229149
CO2 Emissions (in grams): 0.5988414315305852

Validation Metrics

Loss: 0.4045306444168091
Accuracy: 0.8028169014084507
Precision: 0.8070175438596491
Recall: 0.9387755102040817
AUC: 0.8812615955473099
F1: 0.8679245283018868

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": "Cell lines expressing proteins"}' https://api-inference.huggingface.co/models/Mim/autotrain-biobert-procell-896229149

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Mim/autotrain-biobert-procell-896229149", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Mim/autotrain-biobert-procell-896229149", use_auth_token=True)

inputs = tokenizer("Cell lines expressing proteins", return_tensors="pt")

outputs = model(**inputs)