metadata

tags:
  - autotrain
  - text-classification
language:
  - en
widget:
  - text: I love AutoTrain
datasets:
  - Showroom/autotrain-data-clothing_categories
co2_eq_emissions:
  emissions: 1.8724738010586808

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 63192135356
CO2 Emissions (in grams): 1.8725

Validation Metrics

Loss: 0.438
Accuracy: 0.875
Macro F1: 0.769
Micro F1: 0.875
Weighted F1: 0.871
Macro Precision: 0.776
Micro Precision: 0.875
Weighted Precision: 0.873
Macro Recall: 0.776
Micro Recall: 0.875
Weighted Recall: 0.875

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/Showroom/autotrain-clothing_categories-63192135356

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Showroom/autotrain-clothing_categories-63192135356", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Showroom/autotrain-clothing_categories-63192135356", use_auth_token=True)

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

outputs = model(**inputs)