Instructions to use OthmaneJ/distil-wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OthmaneJ/distil-wav2vec2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="OthmaneJ/distil-wav2vec2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("OthmaneJ/distil-wav2vec2") model = AutoModelForCTC.from_pretrained("OthmaneJ/distil-wav2vec2") - Notebooks
- Google Colab
- Kaggle
Can not change output_feature in last layer: lmhead in model
#2 opened over 2 years ago
by
hmtrung
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot