avatar-training-data / raw /hf_api_upload.py
azatika's picture
Add files using upload-large-folder tool
dcf8942 verified
from huggingface_hub import HfApi
# Path to the local file you want to upload
local_path = "beat_english_v0.2.1.zip"
# Path inside the repo (can include subfolders, e.g. "raw/beat_english_v0.2.1.zip")
path_in_repo = "beat_english_v0.2.1.zip"
# Your Hugging Face dataset repo (change if needed)
repo_id = "azatika/beat-english-private"
# The repo type should be 'dataset'
repo_type = "dataset"
api = HfApi()
api.upload_file(
path_or_fileobj=local_path,
path_in_repo=path_in_repo,
repo_id=repo_id,
repo_type=repo_type,
)
print(f"Uploaded {local_path} to {repo_id}/{path_in_repo}")