Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 2380974646
CO2 Emissions (in grams): 89.4520

Validation Metrics

Loss: 0.606
Accuracy: 0.782
Macro F1: 0.780
Micro F1: 0.782
Weighted F1: 0.780
Macro Precision: 0.780
Micro Precision: 0.782
Weighted Precision: 0.780
Macro Recall: 0.782
Micro Recall: 0.782
Weighted Recall: 0.782

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/ChrisPCz/autotrain-finance-consumer-complaints-issue-classification-2380974646

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("ChrisPCz/autotrain-finance-consumer-complaints-issue-classification-2380974646", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("ChrisPCz/autotrain-finance-consumer-complaints-issue-classification-2380974646", use_auth_token=True)

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

outputs = model(**inputs)