Updating quick-start

Signed-off-by: João Lucas de Sousa Almeida <[email protected]>

Author: Joao-L-S-Almeida

docs/quick_start.md

@@ -2,7 +2,8 @@
 We suggest using Python==3.10.
 To get started, make sure to have `PyTorch >= 2` [installed](https://pytorch.org/get-started/locally/). 
 
-Install TerraTorch with `pip install git+https://github.com/IBM/terratorch.git`
+For a stable point-release, use `pip install terratorch`. 
+If you prefer to get the most recent version of the main branch, install the library with `pip install git+https://github.com/IBM/terratorch.git`.
 
 To install as a developer (e.g. to extend the library) clone this repo, and run `pip install -e .`.
 
@@ -233,4 +234,4 @@ To run this training task, simply execute `terratorch fit --config <path_to_conf
 
 To test your model on the test set, execute `terratorch test --config  <path_to_config_file> --ckpt_path <path_to_checkpoint_file>`
 
-For inference, execute `terratorch predict -c <path_to_config_file> --ckpt_path<path_to_checkpoint> --predict_output_dir <path_to_output_dir> --data.init_args.predict_data_root <path_to_input_dir> --data.init_args.predict_dataset_bands <all bands in the predicted dataset, e.g. [BLUE,GREEN,RED,NIR_NARROW,SWIR_1,SWIR_2,0]>`
+For inference, execute `terratorch predict -c <path_to_config_file> --ckpt_path<path_to_checkpoint> --predict_output_dir <path_to_output_dir> --data.init_args.predict_data_root <path_to_input_dir> --data.init_args.predict_dataset_bands <all bands in the predicted dataset, e.g. [BLUE,GREEN,RED,NIR_NARROW,SWIR_1,SWIR_2,0]>`