Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 872827783
CO2 Emissions (in grams): 0.020162211418903533

Validation Metrics

Loss: 0.25198695063591003
Accuracy: 0.9325714285714286
Macro F1: 0.9254931094274171
Micro F1: 0.9325714285714286
Weighted F1: 0.9323540959391766
Macro Precision: 0.9286720054236212
Micro Precision: 0.9325714285714286
Weighted Precision: 0.9324375609546055
Macro Recall: 0.9227549386201338
Micro Recall: 0.9325714285714286
Weighted Recall: 0.9325714285714286

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/Yarn007/autotrain-Napkin-872827783

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Yarn007/autotrain-Napkin-872827783", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Yarn007/autotrain-Napkin-872827783", use_auth_token=True)

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

outputs = model(**inputs)