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404E
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autotrain-formality-1026434913

Text Classification
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PyTorch
English
bert
Trained with AutoTrain
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autotrain-formality-1026434913 / README.md
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metadata
tags: autotrain
language: en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - 404E/autotrain-data-formality
co2_eq_emissions: 7.300283563922049

Model Trained Using AutoTrain

  • Problem type: Single Column Regression
  • Model ID: 1026434913
  • CO2 Emissions (in grams): 7.300283563922049

Validation Metrics

  • Loss: 0.5467672348022461
  • MSE: 0.5467672944068909
  • MAE: 0.5851736068725586
  • R2: 0.6883510493648173
  • RMSE: 0.7394371628761292
  • Explained Variance: 0.6885714530944824

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/404E/autotrain-formality-1026434913

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("404E/autotrain-formality-1026434913", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("404E/autotrain-formality-1026434913", use_auth_token=True)

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

outputs = model(**inputs)