---
license: other
---


# Uploading Pretrained Checkpoints to Hugging Face

This guide explains how to upload model checkpoints to a shared Hugging Face repository using `huggingface_hub`.

---

## 1. Prerequisites

Activate your conda environment, then install the Hugging Face Hub client **inside it**:

```bash
conda activate <your-env>
pip install huggingface_hub
```

Verify it is installed correctly:

```bash
python -c "import huggingface_hub; print(huggingface_hub.__version__)"
```

> **Note on CLI command name:** In `huggingface_hub` v1.0+, the CLI was renamed from `huggingface-cli` to **`hf`**. If you are on v1.x (check with the command above), use `hf` everywhere in this guide. If the command is still not found despite the package being installed, use the module fallback:
>
> ```bash
> python -m huggingface_hub.cli.hf --version
> ```
>
> Use `python -m huggingface_hub.cli.hf` as a drop-in replacement for `hf` anywhere below.

---

## 2. Create a Hugging Face Account

Go to [huggingface.co](https://huggingface.co) and create a personal account if you do not have one. Ask the organisation owner to add you as a member of the shared organisation so you have write access to the repository.

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## 3. Log in

```bash
hf auth login
```

You will be prompted for an access token. Generate one at:
**huggingface.co → Settings → Access Tokens → New token** (role: **Write**)

Paste the token when prompted. Your credentials are stored locally and persist across sessions.

---

## 4. Create a Repository in the Organisation

Before uploading, you need a repository to upload to. Please use the same name as the github repo. Create one under the organisation with:

```bash
hf repos create AICM-HD/<repo-name> --repo-type model
```

Add `--private` if the repository should not be publicly visible:

```bash
hf repos create AICM-HD/<repo-name> --repo-type model --private
```
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## 6. Checkpoint Naming Convention

Before uploading, rename checkpoints to make them unambiguous. A clear convention is:

```
{model}_{dataset}.pth
```

For example: `vqgan_chestct.pth`, `ldm_chestct.pth`, etc.

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## 7. Upload Checkpoints

Replace `<repo>` with the actual repository name on Hugging Face.

**Upload a single file:**

```bash
hf upload AICM-HD/<repo> \
    /path/to/local/checkpoint.pth \
    checkpoint.pth \
    --repo-type model
```

The third argument is the destination filename inside the repository.

**Upload all checkpoints at once from a folder:**

```bash
hf upload AICM-HD/<repo> \
    /path/to/checkpoints/ \
    . \
    --repo-type model
```

This uploads the entire folder contents to the root of the repository.

---

## 8. Verify the Upload

Open the repository in a browser:

```
https://huggingface.co/<org>/<repo>
```

You should see the uploaded files listed under **Files and versions**. Click any file to confirm its size matches the local checkpoint.

You can also verify from the terminal:

```bash
hf repo info AICM-HD/<repo> --repo-type model
```

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## 9. Downloading Checkpoints

Anyone with access to the repository can download checkpoints with:

```bash
pip install huggingface_hub

hf download AICM-HD/<repo> checkpoint.pth --local-dir checkpoints/
```

Or download everything at once:

```bash
hf download AICM-HD/<repo> --local-dir checkpoints/
```

If the repository is private, members must log in first (`hf auth login`) with their own access token.

---