Hosted inference API: Pipeline cannot infer suitable model classes
When I try to use the inference pipeline widget for my public project, I got this error.huggingface.coKELONMYOSA/wav2vec2-xls-r-300m-emotion-ru · Hugging FaceWe’re on a journey to advance and democratize artificial intelligence through open source and open science.But the pipeline works locally
2023-06-02T17:50:48Z
hi@KELONMYOSA,does your model work when you run with transformers?from transformers.pipelines import pipeline
pipe = pipeline(model="KELONMYOSA/wav2vec2-xls-r-300m-emotion-ru", trust_remote_code=True)
result = pipe("speech.wav")
print(result)Could you try update the model card and add the correct tags?tags:
  - audio
  - audio-classification
2023-06-05T13:59:35Z
Hi,@radamesYes, everything works when I run it locally using transformers as specified in readme (pipeline and automodel)I have updated the model card
2023-06-05T23:08:39Z
This issue has been popping up on a bunch of different models and endpoints actually. I think there is a deeper issue at play.