Autonlp Imdb Demo Hf 16622767

🚀 Model Trained Using AutoNLP

This model is trained via AutoNLP, designed to solve binary classification problems.

🚀 Quick Start

This model is trained for binary classification tasks. You can use it through the cURL command or the Python API.

✨ Features

• Binary Classification: Specifically designed to handle binary classification problems.
• Multiple Metrics: Achieved good performance in validation metrics such as loss, accuracy, precision, recall, AUC, and F1.

📦 Installation

No specific installation steps are provided in the original document.

💻 Usage Examples

Basic 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/juliensimon/autonlp-imdb-demo-hf-16622767

Advanced Usage

Use the Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("juliensimon/autonlp-imdb-demo-hf-16622767", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("juliensimon/autonlp-imdb-demo-hf-16622767", use_auth_token=True)

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

outputs = model(**inputs)

📚 Documentation

Model Information

Validation Metrics

Datasets

• juliensimon/autonlp-data-imdb-demo-hf