Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
/workspace/datasets/datasets/MIR_ST500/MIR_ST500.py
Generated from Trainer
Instructions to use gary109/wav2vec2-base-MIR_ST500_ASR_109 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gary109/wav2vec2-base-MIR_ST500_ASR_109 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gary109/wav2vec2-base-MIR_ST500_ASR_109")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("gary109/wav2vec2-base-MIR_ST500_ASR_109") model = AutoModelForCTC.from_pretrained("gary109/wav2vec2-base-MIR_ST500_ASR_109", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot