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
File size: 129 Bytes
507eb70 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:66fdcdca59a2aad0585588ab818a94c11bbf78905ea19287c31f0fd2226488d2
size 5432
|