Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 1671659193
CO2 Emissions (in grams): 0.0047

Validation Metrics

Loss: 0.803
Accuracy: 0.658
Macro F1: 0.478
Micro F1: 0.658
Weighted F1: 0.580
Macro Precision: 0.424
Micro Precision: 0.658
Weighted Precision: 0.520
Macro Recall: 0.549
Micro Recall: 0.658
Weighted Recall: 0.658

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/bvint/autotrain-sphere-lecture-demo-1671659193

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("bvint/autotrain-sphere-lecture-demo-1671659193", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("bvint/autotrain-sphere-lecture-demo-1671659193", use_auth_token=True)

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

outputs = model(**inputs)