Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 3621496854
CO2 Emissions (in grams): 7.9378

Validation Metrics

Loss: 0.353
Accuracy: 0.905
Macro F1: 0.714
Micro F1: 0.905
Weighted F1: 0.890
Macro Precision: 0.712
Micro Precision: 0.905
Weighted Precision: 0.887
Macro Recall: 0.743
Micro Recall: 0.905
Weighted Recall: 0.905

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_1-3621496854

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("gjbooth2/autotrain-glenn_ntsa_1-3621496854", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("gjbooth2/autotrain-glenn_ntsa_1-3621496854", use_auth_token=True)

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

outputs = model(**inputs)