diff --git a/docs/source/convert-weights.md b/docs/source/convert-weights.md
index a3594c6e..65c42f0d 100644
--- a/docs/source/convert-weights.md
+++ b/docs/source/convert-weights.md
@@ -2,22 +2,12 @@
 
 PyTorch model weights are commonly saved and stored as `.bin` files with Python's [`pickle`](https://docs.python.org/3/library/pickle.html) utility. To save and store your model weights in the more secure `safetensor` format, we recommend converting your weights to `.safetensors`.
 
-The easiest way to convert your model weights is to use the [Convert Space](https://huggingface.co/spaces/diffusers/convert), given your model weights are already stored on the Hub. The Convert Space downloads the pickled weights, converts them, and opens a Pull Request to upload the newly converted `.safetensors` file to your repository. Merge the Pull Request to upload the weights, but if you can't wait to try it out, you can also use the `.safetensors` immediately by specifying the reference to the Pull Request in the revision parameter:
+The easiest way to convert your model weights is to use the [Convert Space](https://huggingface.co/spaces/diffusers/convert), given your model weights are already stored on the Hub. The Convert Space downloads the pickled weights, converts them, and opens a Pull Request to upload the newly converted `.safetensors` file to your repository.
 
-```py
-from transformers import AutoModel
+<Tip warning={true}>
 
-model = AutoModel.from_pretrained(
-    "my-safe-model", revision="refs/pr/1", use_safetensors=True
-)
-```
+For larger models, the Space may be a bit slower because its resources are tied up in converting other models. You can also try running the [convert.py](https://github.com/huggingface/safetensors/blob/main/bindings/python/convert.py) script (this is what the Space is running) locally to convert your weights.
 
-Another way to convert your `.bin` files is to use the [`~safetensors.torch.save_model`] function:
+Feel free to ping [@Narsil](https://huggingface.co/Narsil) for any issues with the Space.
 
-```py
-from transformers import AutoModel
-from safetensors.torch import save_model
-
-unsafe_model = AutoModel.from_pretrained("my-unsafe-model")
-save_model(unsafe_model, "model.safetensors")
-```
+</Tip>