Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 789524315
CO2 Emissions (in grams): 2.0134443204822188

Validation Metrics

Loss: 0.8042349815368652
Accuracy: 0.6904761904761905
Macro F1: 0.27230046948356806
Micro F1: 0.6904761904761905
Weighted F1: 0.5640509725016768
Macro Precision: 0.23015873015873015
Micro Precision: 0.6904761904761905
Weighted Precision: 0.4767573696145125
Macro Recall: 0.3333333333333333
Micro Recall: 0.6904761904761905
Weighted Recall: 0.6904761904761905

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/Rem59/autotrain-Test_2-789524315

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Rem59/autotrain-Test_2-789524315", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Rem59/autotrain-Test_2-789524315", use_auth_token=True)

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

outputs = model(**inputs)