YAML Metadata
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Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1053836321
- CO2 Emissions (in grams): 38.823207616999326
Validation Metrics
- Loss: 0.16398181021213531
- Accuracy: 0.9421677802524128
- Precision: 0.9551290714961481
- Recall: 0.9405110460473782
- AUC: 0.9836026254461562
- F1: 0.9477636961040703
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-1053836321
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("borgr/autotrain-Trial-1053836321", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("borgr/autotrain-Trial-1053836321", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
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