Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 18833547
CO2 Emissions (in grams): 64.58945483765274

Validation Metrics

Loss: 0.14247722923755646
Accuracy: 0.9586074193404036
Macro F1: 0.9468339778730883
Micro F1: 0.9586074193404036
Weighted F1: 0.9585551117678807
Macro Precision: 0.9445436604001405
Micro Precision: 0.9586074193404036
Weighted Precision: 0.9591405429662925
Macro Recall: 0.9499427161888565
Micro Recall: 0.9586074193404036
Weighted Recall: 0.9586074193404036

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/adelgasmi/autonlp-kpmg_nlp-18833547

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("adelgasmi/autonlp-kpmg_nlp-18833547", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("adelgasmi/autonlp-kpmg_nlp-18833547", use_auth_token=True)

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

outputs = model(**inputs)