1 files changed, 4 insertions, 13 deletions
diff --git a/candle-examples/examples/whisper/main.rs b/candle-examples/examples/whisper/main.rs
index 82c45348..c9e9ccc6 100644
--- a/candle-examples/examples/whisper/main.rs
+++ b/candle-examples/examples/whisper/main.rs
@@ -10,7 +10,7 @@
 extern crate intel_mkl_src;
 
 use anyhow::{Error as E, Result};
-use candle::{safetensors::Load, DType, Device, Tensor};
+use candle::{DType, Device, Tensor};
 use candle_nn::{ops::softmax, VarBuilder};
 use clap::Parser;
 use hf_hub::{api::sync::Api, Repo, RepoType};
@@ -243,13 +243,6 @@ struct Args {
     /// The seed to use when generating random samples.
     #[arg(long, default_value_t = 299792458)]
     seed: u64,
-
-    /// The mel filters in safetensors format.
-    #[arg(
-        long,
-        default_value = "candle-examples/examples/whisper/mel_filters.safetensors"
-    )]
-    filters: String,
 }
 
 fn main() -> Result<()> {
@@ -301,11 +294,9 @@ fn main() -> Result<()> {
     };
     let tokenizer = Tokenizer::from_file(tokenizer_filename).map_err(E::msg)?;
 
-    let mel_filters = unsafe { candle::safetensors::MmapedFile::new(args.filters)? };
-    let mel_filters = mel_filters.deserialize()?;
-    let mel_filters = mel_filters.tensor("mel_80")?.load(&device)?;
-    println!("loaded mel filters {:?}", mel_filters.shape());
-    let mel_filters = mel_filters.flatten_all()?.to_vec1::<f32>()?;
+    let mel_bytes = include_bytes!("melfilters.bytes");
+    let mut mel_filters = vec![0f32; mel_bytes.len() / 4];
+    <byteorder::LittleEndian as byteorder::ByteOrder>::read_f32_into(mel_bytes, &mut mel_filters);
 
     let mut input = std::fs::File::open(input)?;
     let (header, data) = wav::read(&mut input)?;