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:
- 6356bf816f138bc3728be3533f7eacd01591d62458e75502b5f667500f3aaed8
- Size of remote file:
- 4.08 kB
- SHA256:
- 13f118af5d3b076d4d23a13d701e001dad37ccadb84e923cbc3347e1ab8e4dfa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.