Update the hf-hub dependency to 0.4.0. (#2691)

* Update the hf-hub dependency to 0.4.0.

* Fix the book.

* Use 0.4.1.

Cargo.toml

@@ -46,7 +46,7 @@ criterion = { version = "0.5.1", default-features=false }
 cudarc = { version = "0.12.1", features = ["std", "cublas", "cublaslt", "curand", "driver", "nvrtc", "f16", "cuda-version-from-build-system", "dynamic-linking"], default-features=false }
 fancy-regex = "0.13.0"
 gemm = { version = "0.17.0", features = ["wasm-simd128-enable"] }
-hf-hub = { version = "0.3.3", package = "candle-hf-hub" }
+hf-hub = "0.4.1"
 half = { version = "2.3.1", features = ["num-traits", "use-intrinsics", "rand_distr"] }
 hound = "3.5.1"
 image = { version = "0.25.2", default-features = false, features = ["jpeg", "png"] }

candle-book/src/inference/hub.md

@@ -11,8 +11,8 @@ Then let's start by downloading the [model file](https://huggingface.co/bert-bas
 
 ```rust
 # extern crate candle_core;
-# extern crate candle_hf_hub;
-use candle_hf_hub::api::sync::Api;
+# extern crate hf_hub;
+use hf_hub::api::sync::Api;
 use candle_core::Device;
 
 let api = Api::new().unwrap();
@@ -50,8 +50,8 @@ Now that we have our weights, we can use them in our bert architecture:
 ```rust
 # extern crate candle_core;
 # extern crate candle_nn;
-# extern crate candle_hf_hub;
-# use candle_hf_hub::api::sync::Api;
+# extern crate hf_hub;
+# use hf_hub::api::sync::Api;
 # 
 # let api = Api::new().unwrap();
 # let repo = api.model("bert-base-uncased".to_string());