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bert-claimcoherence-mini

Text Classification
Transformers
PyTorch
Safetensors
English
bert
Trained with AutoTrain
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bert-claimcoherence-mini / README.md
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metadata
tags:
  - autotrain
  - text-classification
language:
  - en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - lucafrost/autotrain-data-claimcoherence-lf
co2_eq_emissions:
  emissions: 0.5905299701991715

Model Trained Using AutoTrain

  • Problem type: Binary Classification
  • Model ID: 39443102994
  • CO2 Emissions (in grams): 0.5905

Validation Metrics

  • Loss: 0.396
  • Accuracy: 0.820
  • Precision: 0.913
  • Recall: 0.750
  • AUC: 0.907
  • F1: 0.824

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/lucafrost/autotrain-claimcoherence-lf-39443102994

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("lucafrost/autotrain-claimcoherence-lf-39443102994", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("lucafrost/autotrain-claimcoherence-lf-39443102994", use_auth_token=True)

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

outputs = model(**inputs)