emissary-ai/Python-Tab-Completion-CodeLlama-70b

1from huggingface_hub import HfApi2from concurrent.futures import ThreadPoolExecutor3import os4 5api = HfApi()6files = [f"model-000{i:02d}-of-00029.safetensors" for i in range(7, 30)]7 8def upload_file(filepath):9    return api.upload_file(10        path_or_fileobj=filepath,11        path_in_repo=filepath,12        repo_id="emissary-ai/Python-Tab-Completion-CodeLlama-70b",13        repo_type="model"14    )15 16with ThreadPoolExecutor(max_workers=50) as executor:17    executor.map(upload_file, files)