YAML Metadata
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Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 451311592
- CO2 Emissions (in grams): 1.8697144296865242
Validation Metrics
- Loss: 0.4544260799884796
- Accuracy: 0.8042452830188679
- Precision: 0.8331288343558282
- Recall: 0.8573232323232324
- AUC: 0.8759811658249159
- F1: 0.8450528935905414
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 AutoNLP"}' https://api-inference.huggingface.co/models/zwang199/autonlp-traffic-nlp-451311592
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("zwang199/autonlp-traffic-nlp-451311592", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("zwang199/autonlp-traffic-nlp-451311592", use_auth_token=True)
inputs = tokenizer("I love AutoNLP", return_tensors="pt")
outputs = model(**inputs)
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