add support for `LiteWhisperConfig`
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- Dominant language
- C++
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Description
new whisper model uses configuration LiteWhisperConfig
when i try to convert with
ct2-transformers-converter --model efficient-speech/lite-whisper-large-v3-turbo --output_dir lite-whisper-large-v3-turbo-ct2 --trust_remote_code
i get
ValueError: No conversion is registered for the model configuration LiteWhisperConfig (supported configurations are: BartConfig, BertConfig, BloomConfig, CodeGenConfig, DistilBertConfig, FalconConfig, GPT2Config, GPTBigCodeConfig, GPTJConfig, GPTNeoXConfig, Gemma2Config, GemmaConfig, LlamaConfig, M2M100Config, MBartConfig, MPTConfig, MT5Config, MarianConfig, MistralConfig, MixFormerSequentialConfig, OPTConfig, PegasusConfig, Phi3Config, PhiConfig, RWConfig, T5Config, Wav2Vec2BertConfig, Wav2Vec2Config, WhisperConfig, XLMRobertaConfig)
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by running the reported ct2-transformers-converter command with efficient-speech/lite-whisper-large-v3-turbo and inspect how the existing WhisperConfig conversion is registered. Determine the conversion changes required for LiteWhisperConfig; the work is done when this model converts successfully without the unsupported-configuration error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface
- Domain
- cli, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100