metadata
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
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)