Instructions to use BuzzASR/bosnian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BuzzASR/bosnian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="BuzzASR/bosnian")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("BuzzASR/bosnian") model = AutoModelForSpeechSeq2Seq.from_pretrained("BuzzASR/bosnian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51f5c6b80fd0da0c41eb82286f2873cfcbcf0387a17bdc7051c983f7f6bbd6f8
- Size of remote file:
- 3.09 GB
- SHA256:
- 67e69bb391eef51ea9c56cfa061f5ddbdc6e4f6eee6da01f32451262ac384ad2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.