Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 1239047106
CO2 Emissions (in grams): 80.7204

Validation Metrics

Loss: 0.725
Accuracy: 0.747
Macro F1: 0.474
Micro F1: 0.747
Weighted F1: 0.712
Macro Precision: 0.608
Micro Precision: 0.747
Weighted Precision: 0.722
Macro Recall: 0.475
Micro Recall: 0.747
Weighted Recall: 0.747

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/qinguan/autotrain-dl-assignment-two-part-one-1239047106

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("qinguan/autotrain-dl-assignment-two-part-one-1239047106", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("qinguan/autotrain-dl-assignment-two-part-one-1239047106", use_auth_token=True)

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

outputs = model(**inputs)