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) |