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NicholasSynovic/autotrain-luc-comp429-victorian-authorship-classification-52472123759

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model Trained Using AutoTrain

  • —Problem type: Multi-class Classification
  • —Model ID: 52472123759
  • —CO2 Emissions (in grams): 0.0311

Validation Metrics

  • —Loss: 1.666
  • —Accuracy: 0.580
  • —Macro F1: 0.457
  • —Micro F1: 0.580
  • —Weighted F1: 0.579
  • —Macro Precision: 0.493
  • —Micro Precision: 0.580
  • —Weighted Precision: 0.606
  • —Macro Recall: 0.457
  • —Micro Recall: 0.580
  • —Weighted Recall: 0.580

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/NicholasSynovic/autotrain-luc-comp429-victorian-authorship-classification-52472123759

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("NicholasSynovic/autotrain-luc-comp429-victorian-authorship-classification-52472123759", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("NicholasSynovic/autotrain-luc-comp429-victorian-authorship-classification-52472123759", use_auth_token=True)

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

outputs = model(**inputs)