Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Thai
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use fruk19/S_ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fruk19/S_ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="fruk19/S_ASR")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("fruk19/S_ASR") model = AutoModelForSpeechSeq2Seq.from_pretrained("fruk19/S_ASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 341174b7449c76c51051925c00e8e9f68556eb4382c62620bd727897f3a48561
- Size of remote file:
- 4.8 kB
- SHA256:
- 4d0efad4bd2d8d760d0727d701591a27929be11d12bdce34ab4cd616372f476a
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