Model Trained Using AutoNLP

Problem type: Binary Classification
Model ID: 470512388
CO2 Emissions (in grams): 256.38650494338367

Validation Metrics

Loss: 0.18712733685970306
Accuracy: 0.9388
Precision: 0.9300274402195218
Recall: 0.949
AUC: 0.98323192
F1: 0.9394179370421698

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/yosemite/autonlp-imdb-sentiment-analysis-english-470512388

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("yosemite/autonlp-imdb-sentiment-analysis-english-470512388", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("yosemite/autonlp-imdb-sentiment-analysis-english-470512388", use_auth_token=True)

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

outputs = model(**inputs)