Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 2617979261
- CO2 Emissions (in grams): 1.3044
Validation Metrics
- Loss: 0.217
- Accuracy: 0.923
- Precision: 0.931
- Recall: 0.925
- AUC: 0.977
- F1: 0.928
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/hunk3000/autotrain-drugrecommendtiny-2617979261
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("hunk3000/autotrain-drugrecommendtiny-2617979261", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("hunk3000/autotrain-drugrecommendtiny-2617979261", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)