Instructions to use Akaash1/wav2vec-khmer-english-high with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Akaash1/wav2vec-khmer-english-high with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Akaash1/wav2vec-khmer-english-high")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Akaash1/wav2vec-khmer-english-high") model = AutoModelForCTC.from_pretrained("Akaash1/wav2vec-khmer-english-high") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token": "<s>", | |
| "eos_token": "</s>", | |
| "pad_token": "[PAD]", | |
| "unk_token": "[UNK]" | |
| } | |