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models : change HF hosting from dataset to model
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@ -466,7 +466,7 @@ The original models are converted to a custom binary format. This allows to pack
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You can download the converted models using the [models/download-ggml-model.sh](models/download-ggml-model.sh) script
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You can download the converted models using the [models/download-ggml-model.sh](models/download-ggml-model.sh) script
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or manually from here:
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or manually from here:
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- https://huggingface.co/datasets/ggerganov/whisper.cpp
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- https://huggingface.co/ggerganov/whisper.cpp
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- https://ggml.ggerganov.com
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- https://ggml.ggerganov.com
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For more details, see the conversion script [models/convert-pt-to-ggml.py](models/convert-pt-to-ggml.py) or the README
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For more details, see the conversion script [models/convert-pt-to-ggml.py](models/convert-pt-to-ggml.py) or the README
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@ -17,9 +17,9 @@ import (
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// CONSTANTS
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// CONSTANTS
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const (
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const (
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srcUrl = "https://huggingface.co/datasets/ggerganov/whisper.cpp/resolve/main" // The location of the models
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srcUrl = "https://huggingface.co/ggerganov/whisper.cpp/resolve/main" // The location of the models
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srcExt = ".bin" // Filename extension
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srcExt = ".bin" // Filename extension
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bufSize = 1024 * 64 // Size of the buffer used for downloading the model
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bufSize = 1024 * 64 // Size of the buffer used for downloading the model
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)
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)
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var (
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var (
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@ -31,7 +31,7 @@ To run this, you will need a ggml GPT-2 model: [instructions](https://github.com
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Alternatively, you can simply download the smallest ggml GPT-2 117M model (240 MB) like this:
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Alternatively, you can simply download the smallest ggml GPT-2 117M model (240 MB) like this:
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```
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```
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wget --quiet --show-progress -O models/ggml-gpt-2-117M.bin https://huggingface.co/datasets/ggerganov/ggml/raw/main/ggml-model-gpt-2-117M.bin
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wget --quiet --show-progress -O models/ggml-gpt-2-117M.bin https://huggingface.co/ggerganov/ggml/raw/main/ggml-model-gpt-2-117M.bin
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```
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```
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## TTS
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## TTS
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@ -6,7 +6,7 @@ using the [convert-pt-to-ggml.py](convert-pt-to-ggml.py) script. You can either
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the `ggml` files yourself using the conversion script, or you can use the [download-ggml-model.sh](download-ggml-model.sh)
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the `ggml` files yourself using the conversion script, or you can use the [download-ggml-model.sh](download-ggml-model.sh)
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script to download the already converted models. Currently, they are hosted on the following locations:
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script to download the already converted models. Currently, they are hosted on the following locations:
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- https://huggingface.co/datasets/ggerganov/whisper.cpp
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- https://huggingface.co/ggerganov/whisper.cpp
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- https://ggml.ggerganov.com
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- https://ggml.ggerganov.com
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Sample usage:
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Sample usage:
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@ -23,7 +23,7 @@ You can now use it like this:
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A third option to obtain the model files is to download them from Hugging Face:
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A third option to obtain the model files is to download them from Hugging Face:
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https://huggingface.co/datasets/ggerganov/whisper.cpp/tree/main
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https://huggingface.co/ggerganov/whisper.cpp/tree/main
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## Available models
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## Available models
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@ -40,7 +40,7 @@ if exist "ggml-%model%.bin" (
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goto :eof
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goto :eof
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)
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)
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PowerShell -NoProfile -ExecutionPolicy Bypass -Command "Invoke-WebRequest -Uri https://huggingface.co/datasets/ggerganov/whisper.cpp/resolve/main/ggml-%model%.bin -OutFile ggml-%model%.bin"
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PowerShell -NoProfile -ExecutionPolicy Bypass -Command "Invoke-WebRequest -Uri https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-%model%.bin -OutFile ggml-%model%.bin"
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if %ERRORLEVEL% neq 0 (
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if %ERRORLEVEL% neq 0 (
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echo Failed to download ggml model %model%
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echo Failed to download ggml model %model%
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@ -6,7 +6,7 @@
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#src="https://ggml.ggerganov.com"
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#src="https://ggml.ggerganov.com"
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#pfx="ggml-model-whisper"
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#pfx="ggml-model-whisper"
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src="https://huggingface.co/datasets/ggerganov/whisper.cpp"
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src="https://huggingface.co/ggerganov/whisper.cpp"
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pfx="resolve/main/ggml"
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pfx="resolve/main/ggml"
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# get the path of this script
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# get the path of this script
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@ -631,7 +631,6 @@ struct whisper_context {
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int64_t t_load_us = 0;
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int64_t t_load_us = 0;
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int64_t t_start_us = 0;
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int64_t t_start_us = 0;
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ggml_type wtype = ggml_type::GGML_TYPE_F16; // weight type (FP32 or FP16)
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ggml_type wtype = ggml_type::GGML_TYPE_F16; // weight type (FP32 or FP16)
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whisper_model model;
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whisper_model model;
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