from huggingface_hub import HfApi, create_repo | |
from transformers import PreTrainedModel, AutoTokenizer | |
# Create a new repository (replace with your desired name) | |
repo_name = "LemTenku/checkpoint-14932" | |
create_repo(repo_name, private=False) # Set private=False if you want it public | |
# Upload the model | |
api = HfApi() | |
api.upload_folder( | |
folder_path="checkpoint-14932", | |
repo_id=repo_name, | |
repo_type="model" | |
) |