Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
msp_audio
Generated from Trainer
custom_code
Instructions to use MahmoodAnaam/MSP-Audio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MahmoodAnaam/MSP-Audio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MahmoodAnaam/MSP-Audio", trust_remote_code=True)# Load model directly from transformers import AutoModelForCTC model = AutoModelForCTC.from_pretrained("MahmoodAnaam/MSP-Audio", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdcc8fbc48a9f1a119a365a7c792e202fe555d26fea174463c6264aeb838312c
- Size of remote file:
- 2.49 GB
- SHA256:
- ea770ab3c6bedcb080a5f0e1290e1f22736794813480e42494d93f28fef52347
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