Automatic Speech Recognition
Transformers
PyTorch
JAX
TensorBoard
Safetensors
Khmer
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use seanghay/whisper-small-khmer-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seanghay/whisper-small-khmer-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="seanghay/whisper-small-khmer-v2")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("seanghay/whisper-small-khmer-v2") model = AutoModelForMultimodalLM.from_pretrained("seanghay/whisper-small-khmer-v2") - Notebooks
- Google Colab
- Kaggle
How to fine tuning it with whisper medium
7
#3 opened over 2 years ago
by
ken0997
Librarian Bot: Add base_model information to model
#2 opened almost 3 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot