Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Thai
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use fruk19/E_ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fruk19/E_ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="fruk19/E_ASR")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("fruk19/E_ASR") model = AutoModelForSpeechSeq2Seq.from_pretrained("fruk19/E_ASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75ba5c966f3092db388e956ac6d46705f5cfb8ff7e034108811bb2925905e903
- Size of remote file:
- 4.8 kB
- SHA256:
- cd1a08925f5d547dcdb94d1f7ce9cacba7e023c5a605ff32f11eb2b1f6a620be
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