from huggingface_hub import HfApi
from concurrent.futures import ThreadPoolExecutor
import os

api = HfApi()
files = [f"model-000{i:02d}-of-00029.safetensors" for i in range(7, 30)]

def upload_file(filepath):
    return api.upload_file(
        path_or_fileobj=filepath,
        path_in_repo=filepath,
        repo_id="emissary-ai/Python-Tab-Completion-CodeLlama-70b",
        repo_type="model"
    )

with ThreadPoolExecutor(max_workers=50) as executor:
    executor.map(upload_file, files)