Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 81843141864
CO2 Emissions (in grams): 0.1612

Validation Metrics

Loss: 1.043
Accuracy: 0.500
Macro F1: 0.222
Micro F1: 0.500
Weighted F1: 0.333
Macro Precision: 0.167
Micro Precision: 0.500
Weighted Precision: 0.250
Macro Recall: 0.333
Micro Recall: 0.500
Weighted Recall: 0.500

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/ReporterMarina/autotrain-clean-broker-fee-81843141864

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("ReporterMarina/autotrain-clean-broker-fee-81843141864", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("ReporterMarina/autotrain-clean-broker-fee-81843141864", use_auth_token=True)

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

outputs = model(**inputs)