docs: add http feature

Author: OlivierDehaene

README.md

@@ -392,9 +392,9 @@ Then run:
 
 ```shell
 # On x86
-cargo install --path router -F candle -F mkl
+cargo install --path router -F mkl
 # On M1 or M2
-cargo install --path router -F candle -F metal
+cargo install --path router -F metal
 ```
 
 You can now launch Text Embeddings Inference on CPU with:
@@ -429,10 +429,10 @@ Then run:
 # This can take a while as we need to compile a lot of cuda kernels
 
 # On Turing GPUs (T4, RTX 2000 series ... )
-cargo install --path router -F candle-cuda-turing --no-default-features
+cargo install --path router -F candle-cuda-turing -F http --no-default-features
 
 # On Ampere and Hopper
-cargo install --path router -F candle-cuda --no-default-features
+cargo install --path router -F candle-cuda -F http --no-default-features
 ```
 
 You can now launch Text Embeddings Inference on GPU with:

docs/source/en/local_cpu.md

@@ -33,13 +33,13 @@ Depending on your machine's architecture, run one of the following commands:
 ### For x86 Machines
 
 ```shell
-cargo install --path router -F candle -F mkl
+cargo install --path router -F mkl
 ```
 
 ### For M1 or M2 Machines
 
 ```shell
-cargo install --path router -F candle -F accelerate
+cargo install --path router -F metal
 ```
 
 ## Step 3: Launch Text Embeddings Inference

docs/source/en/local_gpu.md

@@ -44,13 +44,13 @@ This step  can take a while as we need to compile a lot of cuda kernels.
 ### For Turing GPUs (T4, RTX 2000 series ... )
 
 ```shell
-cargo install --path router -F candle-cuda-turing --no-default-features
+cargo install --path router -F candle-cuda-turing -F http --no-default-features
 ```
 
 ### For Ampere and Hopper
 
 ```shell
-cargo install --path router -F candle-cuda --no-default-features
+cargo install --path router -F candle-cuda -F http --no-default-features
 ```
 
 ## Step 4: Launch Text Embeddings Inference

docs/source/en/local_metal.md

@@ -30,7 +30,7 @@ curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
 ## Step 2: Install with Metal support
 
 ```shell
-cargo install --path router -F candle -F metal
+cargo install --path router -F metal
 ```
 
 ## Step 3: Launch Text Embeddings Inference