Model reference · open weights
wav2vec2-2-bart is an open-weight audio or speech model from patrickvonplaten. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Released by | patrickvonplaten |
|---|---|
| Type | Audio & music |
| Task | Speech→text |
| Runs with | transformers |
| Released | 2022-03-02 |
| Popularity | 958 downloads / month |
| Licence | Unknown |
About
To rerun this experiment, please clone this directory and run:
python create_model.py
followed by
./run_librispeech.sh
This model is a fine-tuned version of facebook/wav2vec2-base and bart-base on the librispeech_asr - clean dataset.
It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
See Training Metrics Tab.
From the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys wav2vec2-2-bart for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (wav2vec2-2-bart below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/audio/transcriptions \ -H "Authorization: Bearer $AXFORGE_API_KEY" \ -F model="wav2vec2-2-bart" -F file=@audio.mp3
Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.