Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 529614927
CO2 Emissions (in grams): 5.999771405025692

Validation Metrics

Loss: 0.7582379579544067
Accuracy: 0.7636103151862464
Macro F1: 0.770630619486531
Micro F1: 0.7636103151862464
Weighted F1: 0.765233270165301
Macro Precision: 0.7746285216467107
Micro Precision: 0.7636103151862464
Weighted Precision: 0.7683270753840836
Macro Recall: 0.7680576576961138
Micro Recall: 0.7636103151862464
Weighted Recall: 0.7636103151862464

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/akilesh96/autonlp-mrcooper_text_classification-529614927

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("akilesh96/autonlp-mrcooper_text_classification-529614927", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("akilesh96/autonlp-mrcooper_text_classification-529614927", use_auth_token=True)

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

outputs = model(**inputs)