Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 1587956110
CO2 Emissions (in grams): 2.3491

Validation Metrics

Loss: 0.448
Accuracy: 0.888
Macro F1: 0.823
Micro F1: 0.888
Weighted F1: 0.884
Macro Precision: 0.885
Micro Precision: 0.888
Weighted Precision: 0.890
Macro Recall: 0.800
Micro Recall: 0.888
Weighted Recall: 0.888

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/hoshingakag/autotrain-emotion-detection-1587956110

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("hoshingakag/autotrain-emotion-detection-1587956110", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("hoshingakag/autotrain-emotion-detection-1587956110", use_auth_token=True)

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

outputs = model(**inputs)