| --- |
| language: it |
| license: mit |
| tags: |
| - whisper |
| - automatic-speech-recognition |
| - italian |
| - ctranslate2 |
| - faster-whisper |
| - whisperx |
| - localai |
| - int8 |
| datasets: |
| - mozilla-foundation/common_voice_25_0 |
| - facebook/multilingual_librispeech |
| - facebook/voxpopuli |
| base_model: openai/whisper-tiny |
| pipeline_tag: automatic-speech-recognition |
| --- |
| |
| # whisper-tiny-it-multi-ct2-int8 |
|
|
| [CTranslate2](https://github.com/OpenNMT/CTranslate2) INT8 quantized version of [LocalAI-io/whisper-tiny-it-multi](https://huggingface.co/LocalAI-io/whisper-tiny-it-multi) for fast CPU inference. |
|
|
| **Author:** Ettore Di Giacinto |
|
|
| Brought to you by the [LocalAI](https://github.com/mudler/LocalAI) team. This model can be used directly with [LocalAI](https://localai.io). |
|
|
| ## Usage with LocalAI |
|
|
| This model is ready to use with [LocalAI](https://localai.io) via the `whisperx` backend. |
|
|
| Save the following as `whisperx-tiny-it-multi.yaml` in your LocalAI models directory: |
|
|
| ```yaml |
| name: whisperx-tiny-it-multi |
| backend: whisperx |
| known_usecases: |
| - transcript |
| parameters: |
| model: LocalAI-io/whisper-tiny-it-multi-ct2-int8 |
| language: it |
| ``` |
|
|
| Then transcribe audio via the OpenAI-compatible endpoint: |
|
|
| ```bash |
| curl http://localhost:8080/v1/audio/transcriptions \ |
| -H "Content-Type: multipart/form-data" \ |
| -F file="@audio.mp3" \ |
| -F model="whisperx-tiny-it-multi" |
| ``` |
|
|
| ## Usage |
|
|
| ### faster-whisper |
|
|
| ```python |
| from faster_whisper import WhisperModel |
| |
| model = WhisperModel("LocalAI-io/whisper-tiny-it-multi-ct2-int8", device="cpu", compute_type="int8") |
| segments, info = model.transcribe("audio.mp3", language="it") |
| for segment in segments: |
| print(f"[{segment.start:.1f}s - {segment.end:.1f}s] {segment.text}") |
| ``` |
|
|
| ### WhisperX |
|
|
| ```python |
| import whisperx |
| |
| model = whisperx.load_model("LocalAI-io/whisper-tiny-it-multi-ct2-int8", device="cpu", compute_type="int8") |
| result = model.transcribe("audio.mp3", language="it") |
| ``` |
|
|
| ## Links |
|
|
| - **HF Safetensors:** [LocalAI-io/whisper-tiny-it-multi](https://huggingface.co/LocalAI-io/whisper-tiny-it-multi) |
| - **Code:** [github.com/localai-org/italian-whisper](https://github.com/localai-org/italian-whisper) |
| - **LocalAI:** [github.com/mudler/LocalAI](https://github.com/mudler/LocalAI) |
|
|