README.md

metadata

tags: autonlp
language: ko
widget:
  - text: I love AutoNLP 🤗
datasets:
  - ybybybybybybyb/autonlp-data-revanalysis

Model Trained Using AutoNLP

• Problem type: Multi-class Classification
• Model ID: 6711455

Validation Metrics

• Loss: 0.8241586089134216
• Accuracy: 0.7835820895522388
• Macro F1: 0.5297383029341792
• Micro F1: 0.783582089552239
• Weighted F1: 0.7130091019920225
• Macro Precision: 0.48787061994609165
• Micro Precision: 0.7835820895522388
• Weighted Precision: 0.6541416904694856
• Macro Recall: 0.5795454545454546
• Micro Recall: 0.7835820895522388
• Weighted Recall: 0.7835820895522388

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 AutoNLP"}' https://api-inference.huggingface.co/models/ybybybybybybyb/autonlp-revanalysis-6711455

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("ybybybybybybyb/autonlp-revanalysis-6711455", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("ybybybybybybyb/autonlp-revanalysis-6711455", use_auth_token=True)

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

outputs = model(**inputs)