--- language: it license: mit tags: - whisper - automatic-speech-recognition - italian - localai datasets: - mozilla-foundation/common_voice_25_0 base_model: openai/whisper-small pipeline_tag: automatic-speech-recognition --- # whisper-small-it Fine-tuned [openai/whisper-small](https://huggingface.co/openai/whisper-small) (244M params) for Italian ASR. **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-small-it.yaml` in your LocalAI models directory: ```yaml name: whisperx-small-it backend: whisperx known_usecases: - transcript parameters: model: LocalAI-io/whisper-small-it-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-small-it" ``` ## Results Evaluated on Common Voice 25.0 Italian test set (15,184 samples): | Step | WER | |------|-----| | 1000 | 18.36% | | 3000 | 15.45% | | 5000 | 14.58% | | 7000 | 13.61% | | 10000 | **13.0%** | ## Training Details - **Base model:** openai/whisper-small (244M parameters) - **Dataset:** Common Voice 25.0 Italian (173k train, 15k dev, 15k test) - **Steps:** 10,000 - **Precision:** bf16 on NVIDIA GB10 ## Usage ### Transformers ```python from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="LocalAI-io/whisper-small-it") result = pipe("audio.mp3", generate_kwargs={"language": "it", "task": "transcribe"}) print(result["text"]) ``` ### CTranslate2 / faster-whisper For optimized CPU inference: [LocalAI-io/whisper-small-it-ct2-int8](https://huggingface.co/LocalAI-io/whisper-small-it-ct2-int8) ## Links - **Multi-dataset version:** [LocalAI-io/whisper-small-it-multi](https://huggingface.co/LocalAI-io/whisper-small-it-multi) (WER 15.6%) - **CTranslate2 INT8:** [LocalAI-io/whisper-small-it-ct2-int8](https://huggingface.co/LocalAI-io/whisper-small-it-ct2-int8) - **Code:** [github.com/localai-org/italian-whisper](https://github.com/localai-org/italian-whisper) - **LocalAI:** [github.com/mudler/LocalAI](https://github.com/mudler/LocalAI)