3 larger CLAP models not able to load
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Description
Hello, my approach is pretty straightforward; running the default code with just ckpts changed:
model = laion_clap.CLAP_Module(enable_fusion=False, amodel= 'HTSAT-base')
model.load_ckpt( 'music_audioset_epoch_15_esc_90.14.pt' )
But I get the error:
Error(s) in loading state_dict for CLAP:
Unexpected key(s) in state_dict: "text_branch.embeddings.position_ids".
This error is present in all the newly trained models;
For music: music_audioset_epoch_15_esc_90.14.pt
For music and speech: music_speech_epoch_15_esc_89.25.pt
For speech, music and general audio: music_speech_audioset_epoch_15_esc_89.98.pt
How can I correctly load these models? thanks..
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Research direction
Reproduce the error with the shown CLAP_Module and load_ckpt calls, using each of the three listed checkpoint files. Start by tracing load_ckpt and the state_dict loading path to determine why text_branch.embeddings.position_ids is unexpected. Done means all three newly trained models load without that error.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100