Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 530615016
CO2 Emissions (in grams): 2.2247356264808964

Validation Metrics

Loss: 0.7859578132629395
Accuracy: 0.676854818831649
Macro F1: 0.3297126297995653
Micro F1: 0.676854818831649
Weighted F1: 0.6429522696884535
Macro Precision: 0.33152557743856437
Micro Precision: 0.676854818831649
Weighted Precision: 0.6276125515413322
Macro Recall: 0.33784302289888885
Micro Recall: 0.676854818831649
Weighted Recall: 0.676854818831649

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 AutoNLP"}' https://api-inference.huggingface.co/models/bitmorse/autonlp-ks-530615016

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("bitmorse/autonlp-ks-530615016", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("bitmorse/autonlp-ks-530615016", use_auth_token=True)

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

outputs = model(**inputs)