Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 38639804
CO2 Emissions (in grams): 11.98841452241473

Validation Metrics

Loss: 0.421400249004364
Accuracy: 0.86783988957902
Macro F1: 0.8669477050676501
Micro F1: 0.86783988957902
Weighted F1: 0.86694770506765
Macro Precision: 0.867606300132228
Micro Precision: 0.86783988957902
Weighted Precision: 0.8676063001322278
Macro Recall: 0.86783988957902
Micro Recall: 0.86783988957902
Weighted Recall: 0.86783988957902

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/dee4hf/autonlp-shajBERT-38639804

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("dee4hf/autonlp-shajBERT-38639804", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("dee4hf/autonlp-shajBERT-38639804", use_auth_token=True)

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

outputs = model(**inputs)