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snap
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autotrain-argument-feedback-1154042510

Text Classification
Transformers
PyTorch
English
bert
Trained with AutoTrain
Inference Endpoints
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Model Trained Using AutoTrain

  • Problem type: Multi-class Classification
  • Model ID: 1154042510
  • CO2 Emissions (in grams): 39.98165454365982

Validation Metrics

  • Loss: 0.7440880537033081
  • Accuracy: 0.6724677090414684
  • Macro F1: 0.5448715054903115
  • Micro F1: 0.6724677090414684
  • Weighted F1: 0.6355527198056449
  • Macro Precision: 0.658141341119219
  • Micro Precision: 0.6724677090414684
  • Weighted Precision: 0.6654291773298342
  • Macro Recall: 0.5406790407797492
  • Micro Recall: 0.6724677090414684
  • Weighted Recall: 0.6724677090414684

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-1154042510

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("snap/autotrain-argument-feedback-1154042510", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("snap/autotrain-argument-feedback-1154042510", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)
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