Typo fix README.md (bytecodealliance#10077)

Author: pinkflower32

crates/wasi-nn/examples/classification-example-pytorch/README.md

@@ -1,7 +1,7 @@
 This example project demonstrates using the `wasi-nn` API to perform PyTorch based inference. It consists of Rust code that is built using the `wasm32-wasip1` target.
 
 To run this example: 
-1. Ensure you set appropriate Libtorch enviornment variables according to [tch-rs instructions]( https://github.com/LaurentMazare/tch-rs?tab=readme-ov-file#libtorch-manual-install). 
+1. Ensure you set appropriate Libtorch environment variables according to [tch-rs instructions]( https://github.com/LaurentMazare/tch-rs?tab=readme-ov-file#libtorch-manual-install). 
     - Requires the C++ PyTorch library (libtorch) in version *v2.4.0* to be available on
 your system. 
     - `export LIBTORCH=/path/to/libtorch`
@@ -16,4 +16,4 @@ curl https://github.com/rahulchaphalkar/libtorch-models/releases/download/v0.1/s
     ```
     ${Wasmtime_root_dir}/target/debug/wasmtime -S nn --dir ${Wasmtime_root_dir}/crates/wasi-nn/examples/classification-example-pytorch::. ${Wasmtime_root_dir}/crates/wasi-nn/examples/classification-example-pytorch/target/wasm32-wasip1/debug/wasi-nn-example-pytorch.wasm
     ```
-6. Check that result `281` has highest probability, which corresponds to `tabby cat`.
+6. Check that result `281` has highest probability, which corresponds to `tabby cat`.