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Commit From AutoTrain
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metadata
tags:
  - autotrain
  - text-classification
language:
  - unk
widget:
  - text: I love AutoTrain 🤗
datasets:
  - lewtun/autotrain-data-mgb-product-reviews-mbert
co2_eq_emissions:
  emissions: 5.523107849339405

Model Trained Using AutoTrain

  • Problem type: Multi-class Classification
  • Model ID: 1904564767
  • CO2 Emissions (in grams): 5.5231

Validation Metrics

  • Loss: 1.135
  • Accuracy: 0.514
  • Macro F1: 0.504
  • Micro F1: 0.514
  • Weighted F1: 0.505
  • Macro Precision: 0.506
  • Micro Precision: 0.514
  • Weighted Precision: 0.507
  • Macro Recall: 0.513
  • Micro Recall: 0.514
  • Weighted Recall: 0.514

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/lewtun/autotrain-mgb-product-reviews-mbert-1904564767

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("lewtun/autotrain-mgb-product-reviews-mbert-1904564767", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("lewtun/autotrain-mgb-product-reviews-mbert-1904564767", use_auth_token=True)

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

outputs = model(**inputs)