Model Trained Using AutoNLP

Problem type: Binary Classification
Model ID: 623817873
CO2 Emissions (in grams): 147.38973865706626

Validation Metrics

Loss: 0.2412157654762268
Accuracy: 0.9306
Precision: 0.9377795851972347
Recall: 0.9224
AUC: 0.97000504
F1: 0.9300262149626941

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/chiragme/autonlp-imdb-sentiment-analysis-623817873

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("chiragme/autonlp-imdb-sentiment-analysis-623817873", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("chiragme/autonlp-imdb-sentiment-analysis-623817873", use_auth_token=True)

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

outputs = model(**inputs)