middleman-ml 0.1.1

Python SDK for Middleman GPU compute platform

Middleman ML SDK

Python SDK for the Middleman GPU compute platform.

Installation

pip install middleman-ml

Quick Start

from middleman import MiddlemanClient

client = MiddlemanClient(api_key="mdlm_...")

# Create a training job
job = client.create_job(
    name="bert-training",
    gpu_type="a100",
    script="train.py",
    requirements=["torch", "transformers"]
)

# Monitor progress
client.wait_for_job(job.id)

# Check your balance
balance = client.get_balance()
print(f"Remaining credits: {balance.credits}")

Features

• Job Management: Create, list, cancel, pause, resume jobs
• Real-time Logs: Stream training logs as they happen
• File Uploads: Upload datasets and scripts
• Billing: Check balance, view transactions
• Webhooks: Get notified on job status changes

GPU Options

GPU	Credits/hr	Best For
T4	50	Inference, small models
A100	350	Large models, fast training
H100	600	Maximum performance

Documentation

Full docs at docs.middleman.run

Support

• Email: [e-mail]
• GitHub: github.com/mkshepherd1/Middleman