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Commit From AutoTrain
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metadata
tags: autotrain
language: unk
widget:
  - text: I love AutoTrain 🤗
datasets:
  - Yarn/autotrain-data-Traimn
co2_eq_emissions: 1.712176860015081

Model Trained Using AutoTrain

  • Problem type: Multi-class Classification
  • Model ID: 853827191
  • CO2 Emissions (in grams): 1.712176860015081

Validation Metrics

  • Loss: 0.10257730633020401
  • Accuracy: 0.973421926910299
  • Macro F1: 0.9735224586288418
  • Micro F1: 0.973421926910299
  • Weighted F1: 0.9735187934099364
  • Macro Precision: 0.9738505933839127
  • Micro Precision: 0.973421926910299
  • Weighted Precision: 0.9738995774527256
  • Macro Recall: 0.9734994306470444
  • Micro Recall: 0.973421926910299
  • Weighted Recall: 0.973421926910299

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/Yarn/autotrain-Traimn-853827191

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Yarn/autotrain-Traimn-853827191", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Yarn/autotrain-Traimn-853827191", use_auth_token=True)

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

outputs = model(**inputs)