Update README.md

README.md

@@ -55,7 +55,7 @@ and direct observational data.
 ## How to Get Started with the Model
 
 To be able to run AIFS to generate a new forecast, you can use ai-models https://github.com/ecmwf-lab/ai-models.
-`ai-models` command can be used to run different models, since in this case we are looking at using AIFS we need to speficy
+`ai-models` command can be used to run different models, since in this case we are looking at using AIFS we need to specify
 `anemoi` as `model-name` and then pass the path to the checkpoint (`aifs_single_v0.2.1.ckpt`) and the initial conditions. 
 You can find an example of a set of initial conditions in the GRIB file `example_20241107_12_n320.grib`.
 
@@ -63,7 +63,7 @@ Use the code below to get started with the model.
 
 
 ```
-# 1st create the conda environment
+# 1st - create the conda environment
 export CONDA_ENV=aifs-env
 conda create -n ${CONDA_ENV} python=3.10
 conda activate ${CONDA_ENV}
@@ -73,14 +73,14 @@ pip install anemoi-inference[plugin] anemoi-models==0.2
 pip install ninja
 pip install flash-attn --no-build-isolation
 
-# 2nd Run ai-models to generate weather forecast
+# 2nd - Run ai-models to generate weather forecast
 
 ai-models anemoi --checkpoint aifs_single_v0.2.1.ckpt --file example_20241107_12_n320.grib
 ```
 
-**Note** we train AIFS using `flash_attention` (https://github.com/Dao-AILab/flash-attention)
-There are currently some issues when trying to install flash attention with the latest PyTorch version 2.5 and CUDA 12.4 (https://github.com/Dao-AILab/flash-attention/issues/1330)
-For that reason we recommen you install PyTorch 2.4
+**Note** we train AIFS using `flash_attention` (https://github.com/Dao-AILab/flash-attention).
+There are currently some issues when trying to install flash attention with the latest PyTorch version 2.5 and CUDA 12.4 (https://github.com/Dao-AILab/flash-attention/issues/1330).
+For that reason, we recommend you install PyTorch 2.4.
 
 After running the `ai-models` command the output of the forecast should be written into `anemoi.grib` 
 Below you can find an example to read that file and load it as numpy array or xarray.