Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 1360552485
CO2 Emissions (in grams): 0.0348

Validation Metrics

Loss: 0.539
Accuracy: 0.914
Macro F1: 0.903
Micro F1: 0.914
Weighted F1: 0.907
Macro Precision: 0.927
Micro Precision: 0.914
Weighted Precision: 0.928
Macro Recall: 0.907
Micro Recall: 0.914
Weighted Recall: 0.914

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/neuralspace/autotrain-ecomm1.8-1360552485

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("neuralspace/autotrain-ecomm1.8-1360552485", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("neuralspace/autotrain-ecomm1.8-1360552485", use_auth_token=True)

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

outputs = model(**inputs)