Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 1155542601
CO2 Emissions (in grams): 206.60369255723003

Validation Metrics

Loss: 0.22105568647384644
Accuracy: 0.9578838092484789
Macro F1: 0.9360695960738429
Micro F1: 0.9578838092484788
Weighted F1: 0.957863360811612
Macro Precision: 0.9415730549729362
Micro Precision: 0.9578838092484789
Weighted Precision: 0.9586754512711492
Macro Recall: 0.9329742157218464
Micro Recall: 0.9578838092484789
Weighted Recall: 0.9578838092484789

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/ar2rpapian/autotrain-Flexport_Classification_Desc-1155542601

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("ar2rpapian/autotrain-Flexport_Classification_Desc-1155542601", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("ar2rpapian/autotrain-Flexport_Classification_Desc-1155542601", use_auth_token=True)

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

outputs = model(**inputs)