Instructions to use hiwden00/finetune-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiwden00/finetune-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hiwden00/finetune-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hiwden00/finetune-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("hiwden00/finetune-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6940ee32abdbe7e6277a154d7aa25450c59fa838aa6198594cb3ccc549a548e7
- Size of remote file:
- 4.28 kB
- SHA256:
- e50718314460c713da1684b70846f5c8ac505f3a5adcc69ea7943e27ce0d196b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.