Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Thai
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use fruk19/N_ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fruk19/N_ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="fruk19/N_ASR")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("fruk19/N_ASR") model = AutoModelForSpeechSeq2Seq.from_pretrained("fruk19/N_ASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e39180b53c74e3a520f1591f164e2c1f03ca7982af02462c82035e7fb2f7c1b8
- Size of remote file:
- 4.8 kB
- SHA256:
- e3c1415c1a13054eaab586185f82beb707800f38f0c8e09420ac9b92f8e31ab8
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