Add links to docs in docstrings

spacy/cli/configure.py

@@ -103,6 +103,8 @@ def configure_resume_cli(
 
     A config for resuming training is the same as the input config, but with
     all components sourced.
+
+    DOCS: https://spacy.io/api/cli#configure-resume
     """
 
     nlp = spacy.load(base_model)
@@ -127,7 +129,10 @@ def configure_resume_cli(
 def configure_transformer_feature_source(
     base_model: str, output_file: Path, transformer_name: str = "roberta-base"
 ) -> Config:
-    """Replace pipeline tok2vec with transformer."""
+    """Replace pipeline tok2vec with transformer.
+
+    DOCS: https://spacy.io/api/cli#configure-transformer
+    """
 
     # 1. identify tok2vec
     # 2. replace tok2vec
@@ -176,7 +181,10 @@ def configure_transformer_feature_source(
 
 @configure_cli.command("tok2vec")
 def configure_tok2vec_feature_source(base_model: str, output_file: Path) -> Config:
-    """Replace pipeline tok2vec with CNN tok2vec."""
+    """Replace pipeline tok2vec with CNN tok2vec.
+
+    DOCS: https://spacy.io/api/cli#configure-tok2vec
+    """
     nlp = spacy.load(base_model)
     _check_single_tok2vec(base_model, nlp.config)
 

spacy/cli/merge.py

@@ -109,7 +109,16 @@ def merge_pipelines(
     output_file: Path = Arg(..., help="Path to save merged model")
     # fmt: on
 ) -> Language:
-    """Combine components from multiple pipelines."""
+    """Combine components from multiple pipelines.
+
+    Given two pipelines, the components from them are merged into a single
+    pipeline. The exact way this works depends on whether the second pipeline
+    has one listener or more than one listener. In the single listener case
+    `replace_listeners` is used, otherwise components are simply appended to
+    the base pipeline.
+
+    DOCS: https://spacy.io/api/cli#merge
+    """
     nlp = spacy.load(base_model)
     nlp2 = spacy.load(added_model)