Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Khmer
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use KrorngAI/mms-1b-fl102-finetuned-khm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KrorngAI/mms-1b-fl102-finetuned-khm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="KrorngAI/mms-1b-fl102-finetuned-khm")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("KrorngAI/mms-1b-fl102-finetuned-khm") model = AutoModelForCTC.from_pretrained("KrorngAI/mms-1b-fl102-finetuned-khm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- deda04eb75dd2511a2e5becc4bf7490196f2ac559abc5e92aae79da527b2042c
- Size of remote file:
- 5.39 kB
- SHA256:
- 4a3499148eb8ab325bd41c3b41ff70bf89d54094f5b4be9853b1e8c27a218602
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