Audio-Text-to-Text
Transformers
Safetensors
Russian
English
borealis
feature-extraction
audio
speech
multimodal
whisper
qwen
custom_code
Instructions to use Vikhrmodels/Borealis-5b-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vikhrmodels/Borealis-5b-it with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Vikhrmodels/Borealis-5b-it", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02ba1f5a35f36adac6c49b92cf7f9f467b5a79911f94c81e9d3b085b18f1edd6
- Size of remote file:
- 11.4 MB
- SHA256:
- fcb4fb9e735fe694250e8eb740459e5a7d515387a7497ae78af2177fa3fc8a21
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.