README.md

metadata

tags:
  - autotrain
  - text-classification
language:
  - en
widget:
  - text: fdjskfjksdjlkfjljsa
co2_eq_emissions:
  emissions: 0.021715821689788844

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• CO2 Emissions (in grams): 0.0217

Validation Metrics

• Loss: 0.285
• Accuracy: 0.924
• Macro F1: 0.922
• Micro F1: 0.924
• Weighted F1: 0.926
• Macro Precision: 0.950
• Micro Precision: 0.924
• Weighted Precision: 0.932
• Macro Recall: 0.903
• Micro Recall: 0.924
• Weighted Recall: 0.924

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/Johnsmith382234/autotrain-message-classifier-2136768960

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("masonbarnes/discord-message-classifier", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("masonbarnes/discord-message-classifier", use_auth_token=True)

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

outputs = model(**inputs)