From 979b723993dd8d244ddcb116e3661d2f0ebb920e Mon Sep 17 00:00:00 2001
From: shadeMe <shadeMe@users.noreply.github.com>
Date: Mon, 14 Aug 2023 13:03:02 +0200
Subject: [PATCH] Update CLI command name, args

---
 website/docs/api/architectures.mdx |  2 +-
 website/docs/api/cli.mdx           | 28 ++++++++++++++++------------
 2 files changed, 17 insertions(+), 13 deletions(-)

diff --git a/website/docs/api/architectures.mdx b/website/docs/api/architectures.mdx
index 1f5ec56d9..d11e64479 100644
--- a/website/docs/api/architectures.mdx
+++ b/website/docs/api/architectures.mdx
@@ -492,7 +492,7 @@ When loading the model
 [from the Hugging Face Hub](/api/curated-transformer#hf_trfencoder_loader), the
 model config's parameters must be same as the hyperparameters used by the
 pre-trained model. The
-[`init fill-config-transformer`](/api/cli#init-fill-config-transformer) CLI
+[`init fill-curated-transformer`](/api/cli#init-fill-curated-transformer) CLI
 command can be used to automatically fill in these values.
 
 ### spacy-curated-transformers.AlbertTransformer.v1
diff --git a/website/docs/api/cli.mdx b/website/docs/api/cli.mdx
index dc6985a03..7df99ca2c 100644
--- a/website/docs/api/cli.mdx
+++ b/website/docs/api/cli.mdx
@@ -185,25 +185,29 @@ $ python -m spacy init fill-config [base_path] [output_file] [--diff]
 | `--help`, `-h`         | Show help message and available arguments. ~~bool (flag)~~                                                                                                                           |
 | **CREATES**            | Complete and auto-filled config file for training.                                                                                                                                   |
 
-### init fill-config-transformer {id="init-fill-config-transformer",version="3.7",tag="command"}
+### init fill-curated-transformer {id="init-fill-curated-transformer",version="3.7",tag="command"}
 
-Auto-fill the Hugging Face model hyperpameters of a
+Auto-fill the Hugging Face model hyperpameters and loader parameters of a
 [Curated Transformer](/api/curated-transformer) pipeline component in a
 [.cfg file](/usage/training#config). The name and revision of the Hugging Face
-is read from the `initialize.components.transformer.encoder_loader` config
-section.
+can either be passed as command-line arguments or read from the
+`initialize.components.transformer.encoder_loader` config section.
 
 ```bash
-$ python -m spacy init fill-config-transformer [base_path] [output_file] [--code] [--name]
+$ python -m spacy init fill-curated-transformer [base_path] [output_file] [--model-name] [--model-revision] [--pipe-name] [--code]
 ```
 
-| Name           | Description                                                                                                                                                                          |
-| -------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
-| `base_path`    | Path to base config to fill, e.g. generated by the [quickstart widget](/usage/training#quickstart). ~~Path (positional)~~                                                            |
-| `output_file`  | Path to output `.cfg` file or "-" to write to stdout so you can pipe it to a file. Defaults to "-" (stdout). ~~Path (positional)~~                                                   |
-| `--code`, `-c` | Path to Python file with additional code to be imported. Allows [registering custom functions](/usage/training#custom-functions) for new architectures. ~~Optional[Path] \(option)~~ |
-| `--name`, `-n` | Name of the curated transformer pipe whose config is to be filled. Defaults to the first transformer pipe. ~~Optional[str] (option)~~                                                |
-| **CREATES**    | Complete and auto-filled config file for training.                                                                                                                                   |
+TODO: update
+
+| Name                     | Description                                                                                                                                                                          |
+| ------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
+| `base_path`              | Path to base config to fill, e.g. generated by the [quickstart widget](/usage/training#quickstart). ~~Path (positional)~~                                                            |
+| `output_file`            | Path to output `.cfg` file or "-" to write to stdout so you can pipe it to a file. Defaults to "-" (stdout). ~~Path (positional)~~                                                   |
+| `--model-name`, `-m`     | Name of the Hugging Face model. Defaults to the model name in from the encoder loader config. ~~Optional[str] (option)~~                                                             |
+| `--model-revision`, `-r` | Revision of the Hugging Face model. Defaults to `main`. ~~Optional[str] (option)~~                                                                                                   |
+| `--pipe-name`, `-n`      | Name of the curated transformer pipe whose config is to be filled. Defaults to the first transformer pipe. ~~Optional[str] (option)~~                                                |
+| `--code`, `-c`           | Path to Python file with additional code to be imported. Allows [registering custom functions](/usage/training#custom-functions) for new architectures. ~~Optional[Path] \(option)~~ |
+| **CREATES**              | Complete and auto-filled config file for training.                                                                                                                                   |
 
 ### init vectors {id="init-vectors",version="3",tag="command"}