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m-a-p
/
MERT-v1-95M

Audio Classification
Transformers
PyTorch
mert_model
feature-extraction
music
custom_code
Model card Files Files and versions
xet
Community
6

Instructions to use m-a-p/MERT-v1-95M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use m-a-p/MERT-v1-95M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="m-a-p/MERT-v1-95M", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("m-a-p/MERT-v1-95M", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Is this model multimodal?

#6 opened 11 months ago by
tirengarfio

Adding `safetensors` variant of this model

#5 opened 12 months ago by
SFconvertbot

MERT-v1-95M not compatible with Transformers >=4.44.0

1
#4 opened about 1 year ago by
baobaoh

Adding `safetensors` variant of this model

#3 opened over 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#2 opened about 2 years ago by
SFconvertbot

RuntimeError: "weight_norm_fwd_last_dim_kernel" not implemented for 'BFloat16'

👀 2
1
#1 opened about 2 years ago by
xiaobinzhuang
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