Instructions to use nullonesix/training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nullonesix/training with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nullonesix/training")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nullonesix/training") model = AutoModelForSpeechSeq2Seq.from_pretrained("nullonesix/training", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50384bd2095d0047c113ec54ffbd6f39c57a9ff4aea737e0300c77136c32a625
- Size of remote file:
- 589 MB
- SHA256:
- 2c0124f58d3454f0f02a33237f36180aba19ad508dd5c470fb3fc377f2faec8d
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