Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 1770161500
CO2 Emissions (in grams): 1.2662

Validation Metrics

Loss: 0.572
Accuracy: 0.810
Macro F1: 0.590
Micro F1: 0.810
Weighted F1: 0.787
Macro Precision: 0.570
Micro Precision: 0.810
Weighted Precision: 0.766
Macro Recall: 0.611
Micro Recall: 0.810
Weighted Recall: 0.810

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/jwan2021/autotrain-poem-sentiment-analysis-1770161500

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("jwan2021/autotrain-poem-sentiment-analysis-1770161500", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("jwan2021/autotrain-poem-sentiment-analysis-1770161500", use_auth_token=True)

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

outputs = model(**inputs)