Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 40841105633
CO2 Emissions (in grams): 0.0098

Validation Metrics

Loss: 0.333
Accuracy: 0.912
Macro F1: 0.764
Micro F1: 0.912
Weighted F1: 0.911
Macro Precision: 0.778
Micro Precision: 0.912
Weighted Precision: 0.916
Macro Recall: 0.767
Micro Recall: 0.912
Weighted Recall: 0.912

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/gjbooth2/autotrain-glenn_ntsa_2-40841105633

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("gjbooth2/autotrain-glenn_ntsa_2-40841105633", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("gjbooth2/autotrain-glenn_ntsa_2-40841105633", use_auth_token=True)

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

outputs = model(**inputs)