README.md

metadata

tags: autotrain
language: ko
widget:
  - text: 개념 집에다 ctrl+z헤놓고 왔나
datasets:
  - jason9693/APEACH
co2_eq_emissions: 0.01856239042036965

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 742522663
• CO2 Emissions (in grams): 0.01856239042036965

Validation Metrics

• Loss: 0.4798508286476135
• Accuracy: 0.7740053050397878
• Precision: 0.7236622073578596
• Recall: 0.9006243496357961
• AUC: 0.8798210006261515
• F1: 0.8025034770514604

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/jason9693/autotrain-kor_hate_eval-742522663

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("jason9693/autotrain-kor_hate_eval-742522663", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("jason9693/autotrain-kor_hate_eval-742522663", use_auth_token=True)

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

outputs = model(**inputs)