---
license: mit
---

# experiment_pel

A simple **PyTorch checkpoint** published for reproducible experiments.  
This repository exposes a single file `model.ckpt` (raw PyTorch/Lightning-style checkpoint). It is **not** a Transformers model; load it with `torch.load`.

## Usage

```python
import torch
from huggingface_hub import hf_hub_download

# Download the checkpoint into a local folder (or use the default cache)
p = hf_hub_download(
    repo_id="jeanq1/experiment_pel",
    filename="model.ckpt",
    local_dir="./weights",            # optional: place a copy/symlink here
    local_dir_use_symlinks=False      # set to True to keep a symlink instead of a copy
)

# Load like any local PyTorch file
ckpt = torch.load(p, map_location="cpu", weights_only=False)
# Example:
# model = YourModelClass(...)
# model.load_state_dict(ckpt["state_dict"] if "state_dict" in ckpt else ckpt)