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
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