Instructions to use sengtha/whisper-tiny-khmer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sengtha/whisper-tiny-khmer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sengtha/whisper-tiny-khmer")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sengtha/whisper-tiny-khmer") model = AutoModelForSpeechSeq2Seq.from_pretrained("sengtha/whisper-tiny-khmer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload ggml-tiny-khmer-f16.bin with huggingface_hub
Browse files- ggml-tiny-khmer-f16.bin +3 -0
ggml-tiny-khmer-f16.bin
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