deploy-transformers 0.1

Easily deploy HuggingFace Transformers on a website

🚀 Deploy Transformers 🤗

Deploy a SOTA model for text-generation in just three lines of code 💻

Installation

Pytorch and Transformers are obviously needed.

pip install deploy-transformers

For deployment, file structure needs to be like this:

├── static
│   ├── script.js
│   ├── style.css
├── templates
│   ├── 404.html
│   ├── index.html
|
└── your_file.py

You can either clone this repository to have original files or use the function website.create_structure() or create yourself the structure.

website.create_structure() will automatically create templates/, static/ and all the files that are in it (.html, .js, .css).

Usage

Check the examples/ folder.

# Deployment
from deploy_transformers import Website

website = Website(model_type="gpt2", model_name="distilgpt2")
# website.create_folder(homepage_file="index.html", template_folder='templates', static_folder='static')
website.deploy()

You can change homepage filename, templates/ and static/ names in website.deploy() but it's better to keep them as default.

# Only text generation
from deploy_transformers import ListModels, Model

# ListModels() to show available models
model = Model("gpt2", "distilgpt2", seed=42, verbose=False)
model.generate(length=20, prompt="The quick brown fox jumps over the lazy dog")
# If no prompt, input will be ask until exit

## Thanks

• Transformers package by HuggingFace
• gpt-2-cloudrun by minimaxir

Notes

• Do the same but for other tasks like sentiment analysis, or Q&A.
• Add Flask option?