README.md

metadata

tags:
  - autotrain
  - text-classification
language:
  - unk
widget:
  - text: I love AutoTrain 🤗
datasets:
  - sairahul5223/autotrain-data-auto-train-intent-classification-20220928
co2_eq_emissions:
  emissions: 1.0197546564964108

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 1584756071
• CO2 Emissions (in grams): 1.0198

Validation Metrics

• Loss: 0.764
• Accuracy: 0.666
• Macro F1: 0.618
• Micro F1: 0.666
• Weighted F1: 0.658
• Macro Precision: 0.659
• Micro Precision: 0.666
• Weighted Precision: 0.664
• Macro Recall: 0.604
• Micro Recall: 0.666
• Weighted Recall: 0.666

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/sairahul5223/autotrain-auto-train-intent-classification-20220928-1584756071

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("sairahul5223/autotrain-auto-train-intent-classification-20220928-1584756071", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("sairahul5223/autotrain-auto-train-intent-classification-20220928-1584756071", use_auth_token=True)

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

outputs = model(**inputs)