YAML Metadata
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Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1053836322
- CO2 Emissions (in grams): 16.873530195116704
Validation Metrics
- Loss: 0.15484948456287384
- Accuracy: 0.9469933184855234
- Precision: 0.9595836712625033
- Recall: 0.9447697631088634
- AUC: 0.9849331840470433
- F1: 0.9521190987124462
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/borgr/autotrain-Trial-1053836322
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("borgr/autotrain-Trial-1053836322", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("borgr/autotrain-Trial-1053836322", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
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