How to use my finetuned version of wave2vec2 for forced alignment as shown in example/
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Description
🐛 Describe the bug
Example script i am following, it used default pretrained model, where as. i want to use my own finetuned model.
Versions
[pip3] mypy-extensions==1.0.0
[pip3] numpy==1.24.4
[pip3] onnx==1.15.0
[pip3] onnxruntime==1.16.3
[pip3] torch==2.2.2
[pip3] torchaudio==2.2.2
[pip3] torchvision==0.15.2
[conda] numpy 1.24.4 pypi_0 pypi
[conda] torch 2.2.2 pypi_0 pypi
[conda] torchaudio 2.2.2 pypi_0 pypi
[conda] torchvision 0.15.2 pypi_0 pypi
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 with the example/ script and the linked Wav2Vec2FABundle documentation, then compare the default pretrained-model workflow with the requested finetuned-model use case. Done means the supported workflow is clearly documented or the missing compatibility is captured in a focused change with appropriate coverage.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- audio-video-rtc, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100