From 73b800d60d5f721310d5de895ab47d70a3b1fdc1 Mon Sep 17 00:00:00 2001
From: Samuel Sloniker <sam@kj7rrv.com>
Date: Tue, 19 Jul 2022 17:02:57 -0700
Subject: [PATCH] remove `python -m`

---
 README.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 38926e0..cd701d4 100644
--- a/README.md
+++ b/README.md
@@ -14,7 +14,7 @@ GPTC provides both a CLI tool and a Python library.
 
 ### Classifying text
 
-    python -m gptc classify [-n <max_ngram_length>] <compiled model file>
+    gptc classify [-n <max_ngram_length>] <compiled model file>
 
 This will prompt for a string and classify it, then print (in JSON) a dict of
 the format `{category: probability, category:probability, ...}` to stdout. (For
@@ -22,14 +22,14 @@ information about `-n <max_ngram_length>`, see section "Ngrams.")
 
 Alternatively, if you only need the most likely category, you can use this:
 
-    python -m gptc classify [-n <max_ngram_length>] <-c|--category> <compiled model file>
+    gptc classify [-n <max_ngram_length>] <-c|--category> <compiled model file>
 
 This will prompt for a string and classify it, outputting the category on
 stdout (or "None" if it cannot determine anything).
 
 ### Compiling models
 
-    python -m gptc compile [-n <max_ngram_length>] <raw model file>
+    gptc compile [-n <max_ngram_length>] <raw model file>
 
 This will print the compiled model in JSON to stdout.