README points to documentation and removes explanations

README.md

@@ -75,55 +75,5 @@ For development you can also build the docker image locally using:
 docker build . -t fstalign-dev
 ```
 
-## Quickstart
-```
-Rev FST Align
-Usage: ./fstalign [OPTIONS] [SUBCOMMAND]
-
-Options:
-  -h,--help                   Print this help message and exit
-  --help-all                  Expand all help
-  --version                   Show fstalign version.
-
-Subcommands:
-  wer                         Get the WER between a reference and an hypothesis.
-  align                       Produce an alignment between an NLP file and a CTM-like input.
-```
-
-### WER Subcommand
-
-The wer subcommand is the most frequent usage of this tool. Required are two arguments traditional to WER calculation: a reference (`--ref <file_path>`) and a hypothesis (`--hyp <file_path>`) transcript. Currently the tool is configured to simply look at the file extension to determine the file format of the input transcripts and parse accordingly.
-
-| File Extension | Reference Support | Hypothesis Supprt |
-| ----------- | ----------- | ----------- |
-| `.ctm`      | :white_check_mark: | :white_check_mark: |
-| `.nlp`      | :white_check_mark: | :white_check_mark: |
-| `.fst`      | :white_check_mark: | :white_check_mark: |
-| All other file extensions, assumed to be plain text | :white_check_mark: | :white_check_mark: |
-
-Basic Example:
-```
-ref.txt
-this is the best sentence
-
-hyp.txt
-this is a test sentence
-
-./bin/fstalign wer --ref ref.txt --hyp hyp.txt
-```
-
-When run, fstalign will dump a log to STDOUT with summary WER information at the bottom. For the above example:
-```
-[+++] [20:37:10] [fstalign] done walking the graph
-[+++] [20:37:10] [wer] best WER: 2/5 = 0.4000 (Total words in reference: 5)
-[+++] [20:37:10] [wer] best WER: INS:0 DEL:0 SUB:2
-[+++] [20:37:10] [wer] best WER: Precision:0.600000 Recall:0.600000
-```
-
-Note that in addition to general WER, the insertion/deletion/substitution breakdown is also printed. fstalign also has other useful outputs, including a JSON log for downstream machine parsing, and a side-by-side view of the alignment and errors generated. For more details, see the [Outputs](https://github.com/revdotcom/fstalign/blob/develop/docs/Advanced-Usage.md#outputs) section in the [Advanced Usage](https://github.com/revdotcom/fstalign/blob/develop/docs/Advanced-Usage.md) doc.
-
-### Align Subcommand
-Usage of the `align` subcommand is almost identical to the `wer` subcommand. The exception is that `align` can only be run if the provided reference is a NLP and the provided hypothesis is a CTM. This is because the core function of the subcommand is to align an NLP without timestamps to a CTM that has timestamps, producing an output of tokens from the reference with timings from the hypothesis.
-
-## Advanced Usage
-See [the advanced usage doc](https://github.com/revdotcom/fstalign/blob/develop/docs/Advanced-Usage.md) for more details.
+## Documentation
+For more information on how to use `fstalign` see our [documentation](https://github.com/revdotcom/fstalign/blob/develop/docs/Usage.md) for more details.