Instructions to use thisiskeithkwan/cantomed11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thisiskeithkwan/cantomed11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="thisiskeithkwan/cantomed11")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("thisiskeithkwan/cantomed11") model = AutoModelForSpeechSeq2Seq.from_pretrained("thisiskeithkwan/cantomed11") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b077961e14148ee9359797c884289ba8d8dd8393d6ed78f156933bcc6ce4d8c
- Size of remote file:
- 3.06 GB
- SHA256:
- e6412cefb4970e31b2ac4731a4b5c4580fd862e5ac221769af0afa0a8fd46a0a
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