Instructions to use gitmbio/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gitmbio/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gitmbio/test")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("gitmbio/test") model = AutoModelForSpeechSeq2Seq.from_pretrained("gitmbio/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b974b570c9364ba8a201de3a3ec3a3a517c8b6dcf1aa83c583d6dcd7568d2f28
- Size of remote file:
- 623 Bytes
- SHA256:
- 8af30c30f64c8f2e70729a67001c250c757563a44e31af66570ea79e3e106f47
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.