Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Thai
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use ShiroMM/whisper-small-th with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShiroMM/whisper-small-th with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ShiroMM/whisper-small-th")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ShiroMM/whisper-small-th") model = AutoModelForSpeechSeq2Seq.from_pretrained("ShiroMM/whisper-small-th") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efbf15ee46f43135835262223b391eca82ba509de19cfb8e8c38a3ad44900efb
- Size of remote file:
- 5.46 kB
- SHA256:
- f841099efa90c2e75f911a5e43b66be32e4dfb4b16bedd7d4b7306583bbf4e0e
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