Added Wavlm models

[alisartazkhan]

Addressing Issue: #2218

Code Quality

• Code Formatted: Format the code using make lint to maintain consistent style.

Documentation

• Updated Documentation: Add or update documentation to reflect the changes introduced in this PR.

Testing

• New Tests Added: Write tests to cover new functionality. Validate with make test-with-coverage.
• Tests Passed: Run tests locally using make test or make test-with-coverage to ensure no existing functionality is broken.

Adding a model checklist

• I have filled out the ModelMeta object to the extent possible
• I have ensured that my model can be loaded using
  • mteb.get_model(model_name, revision) and
  • mteb.get_model_meta(model_name, revision)
• I have tested the implementation works on a representative set of tasks.

Added the following models:

• microsoft/wavlm-large
• microsoft/wavlm-base-plus-sd
• microsoft/wavlm-base-plus-sv
• microsoft/wavlm-base-sd
• microsoft/wavlm-base-sv
• microsoft/wavlm-base-plus
• microsoft/wavlm-base

Command

import mteb

model_name = "microsoft/wavlm-base"
model = mteb.get_model(
    model_name, model_revision="efa81aae7ff777e464159e0f877d54eac5b84f81"
)
tasks = mteb.get_tasks(tasks=["VoiceGenderClustering"])
evaluation = mteb.MTEB(tasks=tasks)
results = evaluation.run(model, output_folder=f"results/{model_name}")

[Samoed]

Good start!

[Samoed]

Suggested change

	device: str | None = None,
	model_name: str = "microsoft/wavlm-base",
	model_revision: str = "",
	model_name: str,
	model_revision: str,
	device: str | None = None,

[Samoed]

Can you add annotation of training_datasets?