Instructions to use Vikhrmodels/Borealis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vikhrmodels/Borealis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Vikhrmodels/Borealis", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Vikhrmodels/Borealis", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download notebook.ipynb from Vikhrmodels/Borealis: direct link, hf CLI and curl.
- Browser
- Download file 4.74 kB
-
https://huggingface.co/Vikhrmodels/Borealis/resolve/refs%2Fpr%2F6/notebook.ipynb
- Command line
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hf download hf://Vikhrmodels/Borealis@refs/pr/6/notebook.ipynb
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curl -L -o notebook.ipynb https://huggingface.co/Vikhrmodels/Borealis/resolve/refs%2Fpr%2F6/notebook.ipynb
4.74 kB