Automatic Speech Recognition
Transformers
TensorBoard
ONNX
Safetensors
Khmer
whisper
khmer
speech-to-text
asr
ggml
on-device
iany
Eval Results (legacy)
Instructions to use sengtha/whisper-base-khmer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sengtha/whisper-base-khmer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sengtha/whisper-base-khmer")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sengtha/whisper-base-khmer") model = AutoModelForSpeechSeq2Seq.from_pretrained("sengtha/whisper-base-khmer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!