Models carried by MELETRA (Windows 4.1.0; the Intel Mac build of 3.1.0 was called WhisperMedical)
==================================================================

1. Whisper large-v3 - speech recognition
   Weights by OpenAI (https://github.com/openai/whisper), MIT licence. The MIT licence allows use, copying, modification, publication and distribution,
   provided the copyright and permission notice stay with the software:

     MIT License - Copyright (c) 2022 OpenAI
     Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"),
     to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense,
     and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
     The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
     THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED.

   Converted for CTranslate2 by Systran: https://huggingface.co/Systran/faster-whisper-large-v3 (revision edaa852ec7e145841d8ffdb056a99866b5f0a478), MIT licence.
   Files (SHA-256):
     config.json              2,394 bytes           a9306624f5ec14270a014b647e5c316b6e03a662c369758d1b90697a7b0655b9
     model.bin                3,087,284,237 bytes   69f74147e3334731bc3a76048724833325d2ec74642fb52620eda87352e3d4f1
     preprocessor_config.json 340 bytes             7ccc62c6f2765af1f3b46c00c9b5894426835a05021c8b9c01eecb6dfb542711
     tokenizer.json           2,480,617 bytes       6d8cbd7cd0d8d5815e478dac67b85a26bbe77c1f5e0c6d76d1ce2abc0e5f21ca
     vocabulary.json          1,068,114 bytes       c69260f2ab26d659b7c398f9a2b2b48ed0df16c3b47d7326782fd9cba71690c1

2. Silero VAD (voice activity detection), file silero_vad_v6.onnx inside faster-whisper - MIT licence (https://github.com/snakers4/silero-vad).

3. RapidOCR / PP-OCR text detection, direction and recognition models (Intel Mac package) - Apache-2.0
   (https://github.com/RapidAI/RapidOCR, models from https://github.com/PaddlePaddle/PaddleOCR).

4. Medical vocabulary (medical_vocab, medical_terms): written for MELETRA.

Nothing is downloaded by the program after installation: the models above are inside the installed program (Mac) or are placed next to your user data by the
installer (Windows).

5. Offline translation pack (optional download) - Meta / Facebook AI Research M2M100 418M, MIT licence
   Model: https://huggingface.co/facebook/m2m100_418M (revision 55c2e61bbf05dfb8d7abccdc3fae6fc8512fd636), MIT licence, Copyright (c) Facebook, Inc. and its affiliates.
   Converted to the CTranslate2 int8 format and published as the release translation-m2m100-v1 of this repository (the full licence text is the file LICENSE-M2M100.txt in that release
   and next to the installed model). The MIT licence allows use, copying, modification, publication and distribution provided the notice stays with the software.
   Files and SHA-256 values: scripts/translation_pack.json.