Instructions to use tntchack/wav2vec_lm_farsi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tntchack/wav2vec_lm_farsi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tntchack/wav2vec_lm_farsi")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("tntchack/wav2vec_lm_farsi") model = AutoModelForCTC.from_pretrained("tntchack/wav2vec_lm_farsi") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot