Instructions to use fruk19/thainorthmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fruk19/thainorthmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="fruk19/thainorthmodel")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("fruk19/thainorthmodel") model = AutoModelForSpeechSeq2Seq.from_pretrained("fruk19/thainorthmodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0a829bd5db22c04548c992a76facc1d86f0f95b62b2aabd064dcce1dc3db736
- Size of remote file:
- 5.24 kB
- SHA256:
- 9ff23f6836fd6a859a8587f6fc73b4d89561abb50eb7280194aaefed125f36b2
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