adding community featured models (#15744)

* adding community featured models

Signed-off-by: Ssofja <sofiakostandian@gmail.com>

* Change the structure of the page based on comment

Signed-off-by: Ssofja <sofiakostandian@gmail.com>

---------

Signed-off-by: Ssofja <sofiakostandian@gmail.com>

Author: Ssofja

docs/source/asr/asr_checkpoints.rst

@@ -7,6 +7,8 @@ ASR Model Checkpoints
 This page lists all supported ASR model checkpoints released by NVIDIA NeMo.
 Benchmark scores for each model can be found on its `HuggingFace model card <https://huggingface.co/nvidia>`__.
 
+For community fine-tunes built on these checkpoints, see :doc:`Featured Community Checkpoints <./featured_community_checkpoints>`.
+
 Glossary
 --------
 

docs/source/asr/featured_community_checkpoints.rst

@@ -0,0 +1,49 @@
+.. _featured-community-checkpoints:
+
+Featured Community Checkpoints
+==============================
+
+Community fine-tunes built on NVIDIA NeMo ASR checkpoints and published on Hugging Face.
+For NVIDIA-published checkpoints, see :doc:`./asr_checkpoints` and the `NVIDIA Hugging Face organization <https://huggingface.co/nvidia>`__.
+
+.. note::
+
+   Community checkpoints are maintained by their authors, not by the NeMo team.
+   Use each model's Hugging Face model card and the framework project linked below for up-to-date setup and inference instructions.
+
+.. list-table::
+   :header-rows: 1
+   :widths: 28 52 20
+
+   * - Checkpoint
+     - What's special
+     - Framework
+   * - `akera/parakeet-tdt-salt <https://huggingface.co/akera/parakeet-tdt-salt>`__
+     - SALT multilingual ASR for 10 East African languages. Hybrid TDT+CTC FastConformer (600M), fine-tuned from `parakeet-tdt-0.6b-v3 <https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3>`__.
+     - NeMo
+   * - `johannhartmann/parakeet_de_med <https://huggingface.co/johannhartmann/parakeet_de_med>`__
+     - German medical documentation ASR (PEFT). WER 11.73% → 3.28% on a 122-sample medical eval set.
+     - NeMo
+   * - `qenneth/parakeet-tdt-0.6b-v3-finetuned-for-ATC <https://huggingface.co/qenneth/parakeet-tdt-0.6b-v3-finetuned-for-ATC>`__
+     - ATC English ASR on `jacktol/ATC-ASR-Dataset <https://huggingface.co/datasets/jacktol/ATC-ASR-Dataset>`__. Test WER 5.99%.
+     - NeMo
+   * - `KasuleTrevor/parakeet-0.6b-cv-sw-5hr_v9 <https://huggingface.co/KasuleTrevor/parakeet-0.6b-cv-sw-5hr_v9>`__
+     - Swahili ASR fine-tune on ~5 hours of Common Voice data.
+     - NeMo
+   * - `NeurologyAI/neuro-parakeet-mlx <https://huggingface.co/NeurologyAI/neuro-parakeet-mlx>`__
+     - German medical/neurology ASR for Apple Silicon. WER 1.04% on the author's medical validation set.
+     - MLX
+   * - `cstr/parakeet-tdt-0.6b-v3-GGUF <https://huggingface.co/cstr/parakeet-tdt-0.6b-v3-GGUF>`__
+     - Quantised Parakeet TDT (Q4_K ~467 MB). 25 EU languages, word-level timestamps.
+     - GGUF (`CrispASR <https://github.com/CrispStrobe/CrispASR>`__)
+   * - `cstr/canary-1b-v2-GGUF <https://huggingface.co/cstr/canary-1b-v2-GGUF>`__
+     - Quantised Canary 1B (Q4_K ~673 MB). Multilingual ASR and speech translation.
+     - GGUF (`CrispASR <https://github.com/CrispStrobe/CrispASR>`__)
+
+
+.. _submit-a-community-checkpoint:
+
+Submit a Community Checkpoint
+-----------------------------
+
+To suggest a checkpoint for this page, open a `GitHub issue <https://github.com/NVIDIA-NeMo/NeMo/issues/new>`__ with the Hugging Face model link, NeMo base checkpoint, task, languages, evaluation results, and inference framework.

docs/source/asr/intro.rst

@@ -72,3 +72,4 @@ Further Reading
    asr_language_modeling_and_customization
    configs
    api
+   featured_community_checkpoints

docs/source/starthere/choosing_a_model.rst

@@ -132,6 +132,7 @@ All pretrained NeMo models are available on:
 
 - `HuggingFace Hub (nvidia) <https://huggingface.co/nvidia>`_ — search for "nemo" or specific model names
 - `NGC Model Catalog <https://catalog.ngc.nvidia.com/models?query=nemo&orderBy=weightPopularDESC>`_ — NVIDIA's model registry
+- :doc:`Featured Community Checkpoints </asr/featured_community_checkpoints>` — fine-tunes from external users
 
 See :doc:`../checkpoints/intro` for instructions on loading pretrained models.