Fix.

candle-examples/examples/siglip/main.rs

@@ -85,7 +85,7 @@ pub fn main() -> anyhow::Result<()> {
     let vb =
         unsafe { VarBuilder::from_mmaped_safetensors(&[model_file.clone()], DType::F32, &device)? };
     let model = siglip::Model::new(&config, vb)?;
-    let (input_ids, vec_seq) = tokenize_sequences(args.sequences, &tokenizer, &device)?;
+    let (input_ids, vec_seq) = tokenize_sequences(&config, args.sequences, &tokenizer, &device)?;
     let (_logits_per_text, logits_per_image) = model.forward(&images, &input_ids)?;
     let softmax_image = softmax(&logits_per_image, 1)?;
     let softmax_image_vec = softmax_image.flatten_all()?.to_vec1::<f32>()?;
@@ -111,11 +111,7 @@ pub fn get_tokenizer(tokenizer: Option<String>) -> anyhow::Result<Tokenizer> {
     let tokenizer = match tokenizer {
         None => {
             let api = hf_hub::api::sync::Api::new()?;
-            let api = api.repo(hf_hub::Repo::with_revision(
-                "openai/clip-vit-base-patch32".to_string(),
-                hf_hub::RepoType::Model,
-                "refs/pr/15".to_string(),
-            ));
+            let api = api.model("google/siglip-base-patch16-224".to_string());
             api.get("tokenizer.json")?
         }
         Some(file) => file.into(),
@@ -125,14 +121,12 @@ pub fn get_tokenizer(tokenizer: Option<String>) -> anyhow::Result<Tokenizer> {
 }
 
 pub fn tokenize_sequences(
+    config: &siglip::Config,
     sequences: Option<Vec<String>>,
     tokenizer: &Tokenizer,
     device: &Device,
 ) -> anyhow::Result<(Tensor, Vec<String>)> {
-    let pad_id = *tokenizer
-        .get_vocab(true)
-        .get("<|endoftext|>")
-        .ok_or(E::msg("No pad token"))?;
+    let pad_id = config.text_config.pad_token_id;
     let vec_seq = match sequences {
         Some(seq) => seq,
         None => vec![