初始化项目，由ModelHub XC社区提供模型

Model: Shpigford/cron-mini
Source: Original Platform

example.py

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+#!/usr/bin/env python3
+"""Minimal inference example for Shpigford/cron-mini."""
+from mlx_lm import load, generate
+
+model, tokenizer = load("Shpigford/cron-mini")
+
+SYSTEM = ("You convert natural-language schedules into cron expressions and "
+          "systemd OnCalendar strings. Output JSON with keys: cron, systemd, "
+          "note. If cron cannot exactly express the schedule, put the closest "
+          "valid cron and explain in note. Do not output anything else.")
+
+def schedule_to_cron(nl: str) -> str:
+    messages = [
+        {"role": "system", "content": SYSTEM},
+        {"role": "user", "content": f"Convert this schedule to cron and systemd OnCalendar: {nl}"},
+    ]
+    prompt = tokenizer.apply_chat_template(messages, add_generation_prompt=True, tokenize=False)
+    return generate(model, tokenizer, prompt=prompt, max_tokens=200, temp=0.0)
+
+if __name__ == "__main__":
+    import sys
+    print(schedule_to_cron(" ".join(sys.argv[1:]) or "every weekday at 9am"))