You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
66 lines
3.2 KiB
66 lines
3.2 KiB
## Whisper model files in custom ggml format
|
|
|
|
The [original Whisper PyTorch models provided by OpenAI](https://github.com/openai/whisper/blob/main/whisper/__init__.py#L17-L27)
|
|
have been converted to custom `ggml` format in order to be able to load them in C/C++. The conversion has been performed
|
|
using the [convert-pt-to-ggml.py](convert-pt-to-ggml.py) script. You can either obtain the original models and generate
|
|
the `ggml` files yourself using the conversion script, or you can use the [download-ggml-model.sh](download-ggml-model.sh)
|
|
script to download the already converted models. Currently, they are hosted on the following locations:
|
|
|
|
- https://huggingface.co/datasets/ggerganov/whisper.cpp
|
|
- https://ggml.ggerganov.com
|
|
|
|
Sample usage:
|
|
|
|
```java
|
|
$ ./download-ggml-model.sh base.en
|
|
Downloading ggml model base.en ...
|
|
models/ggml-base.en.bin 100%[=============================================>] 141.11M 5.41MB/s in 22s
|
|
Done! Model 'base.en' saved in 'models/ggml-base.en.bin'
|
|
You can now use it like this:
|
|
|
|
$ ./main -m models/ggml-base.en.bin -f samples/jfk.wav
|
|
```
|
|
|
|
A third option to obtain the model files is to download them from Hugging Face:
|
|
|
|
https://huggingface.co/datasets/ggerganov/whisper.cpp/tree/main
|
|
|
|
## Available models
|
|
|
|
| Model | Disk | Mem | SHA |
|
|
| --- | --- | --- | --- |
|
|
| tiny | 75 MB | ~390 MB | `bd577a113a864445d4c299885e0cb97d4ba92b5f` |
|
|
| tiny.en | 75 MB | ~390 MB | `c78c86eb1a8faa21b369bcd33207cc90d64ae9df` |
|
|
| base | 142 MB | ~500 MB | `465707469ff3a37a2b9b8d8f89f2f99de7299dac` |
|
|
| base.en | 142 MB | ~500 MB | `137c40403d78fd54d454da0f9bd998f78703390c` |
|
|
| small | 466 MB | ~1.0 GB | `55356645c2b361a969dfd0ef2c5a50d530afd8d5` |
|
|
| small.en | 466 MB | ~1.0 GB | `db8a495a91d927739e50b3fc1cc4c6b8f6c2d022` |
|
|
| medium | 1.5 GB | ~2.6 GB | `fd9727b6e1217c2f614f9b698455c4ffd82463b4` |
|
|
| medium.en | 1.5 GB | ~2.6 GB | `8c30f0e44ce9560643ebd10bbe50cd20eafd3723` |
|
|
| large-v1 | 2.9 GB | ~4.7 GB | `b1caaf735c4cc1429223d5a74f0f4d0b9b59a299` |
|
|
| large | 2.9 GB | ~4.7 GB | `0f4c8e34f21cf1a914c59d8b3ce882345ad349d6` |
|
|
|
|
## Model files for testing purposes
|
|
|
|
The model files prefixed with `for-tests-` are empty (i.e. do not contain any weights) and are used by the CI for
|
|
testing purposes. They are directly included in this repository for convenience and the Github Actions CI uses them to
|
|
run various sanitizer tests.
|
|
|
|
## Fine-tuned models
|
|
|
|
There are community efforts for creating fine-tuned Whisper models using extra training data. For example, this
|
|
[blog post](https://huggingface.co/blog/fine-tune-whisper) describes a method for fine-tuning using Hugging Face (HF)
|
|
Transformer implementation of Whisper. The produced models are in slightly different format compared to the original
|
|
OpenAI format. To read the HF models you can use the [convert-h5-to-ggml.py](convert-h5-to-ggml.py) script like this:
|
|
|
|
```bash
|
|
git clone https://github.com/openai/whisper
|
|
git clone https://github.com/ggerganov/whisper.cpp
|
|
|
|
# clone HF fine-tuned model (this is just an example)
|
|
git clone https://huggingface.co/openai/whisper-base.en
|
|
|
|
# convert the model to ggml
|
|
python3 ./whisper.cpp/models/convert-h5-to-ggml.py ./whisper-medium/ ./whisper .
|
|
```
|