Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Instructions to use hanifa-fy/wav2vec-large-960h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hanifa-fy/wav2vec-large-960h with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hanifa-fy/wav2vec-large-960h")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hanifa-fy/wav2vec-large-960h") model = AutoModelForCTC.from_pretrained("hanifa-fy/wav2vec-large-960h", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 697489b909179e71f27d9279e98e2d3a18bb1388d8b5b555c0d4db90b299b365
- Size of remote file:
- 1.26 GB
- SHA256:
- dcb72b5f486a101e3c2c271eb878bc84909d3da923ff7501e8d8cb95bf622421
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