diff --git a/README.md b/README.md
index 6ea18b10..c6f25702 100644
--- a/README.md
+++ b/README.md
@@ -79,7 +79,7 @@ Cheatsheet:
 | Arithmetic | `a + b`                                  | `&a + &b`                                                        |
 | Device     | `tensor.to(device="cuda")`               | `tensor.to_device(&Device::Cuda(0))?`                            |
 | Dtype      | `tensor.to(dtype=torch.float16)`         | `tensor.to_dtype(&DType::F16)?`                                  |
-| Saving     | `torch.save({"A": A}, "model.bin")`      | `safetensors::serialize_to_file(HashMap::from([("A", A)]), "model.safetensors")?` |
+| Saving     | `torch.save({"A": A}, "model.bin")`      | `candle::safetensors::save(HashMap::from([("A", A)]), "model.safetensors")?` |
 | Loading    | `weights = torch.load("model.bin")`      | `candle::safetensors::load("model.safetensors", &device)`        |
 
 <!--- ANCHOR_END: cheatsheet --->
diff --git a/candle-core/src/safetensors.rs b/candle-core/src/safetensors.rs
index 8ebc68a6..195bbcf7 100644
--- a/candle-core/src/safetensors.rs
+++ b/candle-core/src/safetensors.rs
@@ -249,6 +249,10 @@ pub fn load<P: AsRef<Path>>(filename: P, device: &Device) -> Result<HashMap<Stri
         .collect()
 }
 
+pub fn save<P: AsRef<Path>>(tensors: HashMap<&str, Tensor>, filename: P) -> Result<()> {
+    Ok(st::serialize_to_file(tensors, &None, filename.as_ref())?)
+}
+
 pub struct MmapedFile(memmap2::Mmap);
 
 impl MmapedFile {
@@ -289,7 +293,7 @@ mod tests {
         let t = Tensor::zeros((2, 2), DType::F32, &Device::Cpu).unwrap();
         let u = Tensor::zeros((1, 2), DType::F32, &Device::Cpu).unwrap();
         let map: HashMap<_, _> = [("t", t), ("u", u)].into_iter().collect();
-        st::serialize_to_file(map, &None, std::path::Path::new("multi.safetensors")).unwrap();
+        save(map, "multi.safetensors").unwrap();
 
         let weights = load("multi.safetensors", &Device::Cpu).unwrap();
         assert_eq!(weights.get("t").unwrap().dims(), &[2, 2]);