Upload and commit your model into huggingface hub
Hello!I am going to give you one tip to train your model and upload the huggingface hub.I think this is very useful to upload the model from online coding sites(kaggle.com, colab and so on) without downloading your local.Maybe some others have known this method, but I want to hope my code will be helpful to beginners.from huggingface_hub import login
login(token="Your hf token")
tokenizer.save_pretrained("./your path")

from huggingface_hub import HfApi, upload_folder, create_repo

# Replace with your Hugging Face access token and desired model name
REDACTED_TOKEN = "Your hf token"
repo_name = "Your repository"

# Step 1: Create a repository on the Hub. If you have the repo don't run this code
create_repo(repo_name, token=REDACTED_TOKEN)

# Step 2: Upload the folder to the repository
upload_folder(
    folder_path="./outputmodel",    # Path to the model folder
    repo_id=repo_name,          # Name of the repository
    token=REDACTED_TOKEN,             # Your Hugging Face token
    commit_message="Initial model upload",
)I hope your tips about my method.