Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 853827191
CO2 Emissions (in grams): 1.712176860015081

Validation Metrics

Loss: 0.10257730633020401
Accuracy: 0.973421926910299
Macro F1: 0.9735224586288418
Micro F1: 0.973421926910299
Weighted F1: 0.9735187934099364
Macro Precision: 0.9738505933839127
Micro Precision: 0.973421926910299
Weighted Precision: 0.9738995774527256
Macro Recall: 0.9734994306470444
Micro Recall: 0.973421926910299
Weighted Recall: 0.973421926910299

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/Yarn/autotrain-Traimn-853827191

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Yarn/autotrain-Traimn-853827191", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Yarn/autotrain-Traimn-853827191", use_auth_token=True)

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

outputs = model(**inputs)