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-rw-r--r--candle-examples/examples/blip/main.rs54
1 files changed, 54 insertions, 0 deletions
diff --git a/candle-examples/examples/blip/main.rs b/candle-examples/examples/blip/main.rs
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+++ b/candle-examples/examples/blip/main.rs
@@ -0,0 +1,54 @@
+#[cfg(feature = "mkl")]
+extern crate intel_mkl_src;
+
+#[cfg(feature = "accelerate")]
+extern crate accelerate_src;
+
+use clap::Parser;
+
+use candle::DType;
+use candle_nn::VarBuilder;
+use candle_transformers::models::blip;
+
+#[derive(Parser)]
+struct Args {
+ #[arg(long)]
+ model: Option<String>,
+
+ #[arg(long)]
+ image: String,
+
+ /// Run on CPU rather than on GPU.
+ #[arg(long)]
+ cpu: bool,
+}
+
+pub fn main() -> anyhow::Result<()> {
+ let args = Args::parse();
+
+ let device = candle_examples::device(args.cpu)?;
+
+ let image = candle_examples::imagenet::load_image224(args.image)?;
+ println!("loaded image {image:?}");
+
+ let model_file = match args.model {
+ None => {
+ let api = hf_hub::api::sync::Api::new()?;
+ let api = api.repo(hf_hub::Repo::with_revision(
+ "Salesforce/blip-image-captioning-large".to_string(),
+ hf_hub::RepoType::Model,
+ "refs/pr/18".to_string(),
+ ));
+ api.get("model.safetensors")?
+ }
+ Some(model) => model.into(),
+ };
+ let vb = unsafe { VarBuilder::from_mmaped_safetensors(&[model_file], DType::F32, &device)? };
+ let config = blip::Config::image_captioning_large();
+ let model = blip::BlipForConditionalGeneration::new(&config, vb)?;
+ println!("model built");
+ // TODO: Maybe add support for the conditional prompt.
+ let out = model.generate(&image.unsqueeze(0)?, None, None)?;
+ println!(">>>\n{out}");
+ Ok(())
+}