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Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1154042511
- CO2 Emissions (in grams): 50.942111222257715
Validation Metrics
- Loss: 0.7391096353530884
- Accuracy: 0.672331747110809
- Macro F1: 0.5302988889038903
- Micro F1: 0.672331747110809
- Weighted F1: 0.628333699928783
- Macro Precision: 0.6916740835116003
- Micro Precision: 0.672331747110809
- Weighted Precision: 0.6810625595246631
- Macro Recall: 0.5264405918447705
- Micro Recall: 0.672331747110809
- Weighted Recall: 0.672331747110809
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/snap/autotrain-argument-feedback-1154042511
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("snap/autotrain-argument-feedback-1154042511", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("snap/autotrain-argument-feedback-1154042511", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
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