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)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Vikhrmodels/Borealis", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Adding `transformers` library tag.
#4
by ariG23498 HF Staff - opened
README.md
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@@ -3,6 +3,7 @@ license: apache-2.0
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language:
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- ru
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pipeline_tag: automatic-speech-recognition
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---
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[](https://colab.research.google.com/drive/1ac7apyGO24iAYMwg3DLcqLZRjo-w4QWf?usp=sharing)
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### Авторы
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- Илья Кулешов, Vikhr Team
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- Александр Николич, Vikhr Team
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language:
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- ru
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pipeline_tag: automatic-speech-recognition
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library_name: transformers
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---
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[](https://colab.research.google.com/drive/1ac7apyGO24iAYMwg3DLcqLZRjo-w4QWf?usp=sharing)
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### Авторы
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- Илья Кулешов, Vikhr Team
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- Александр Николич, Vikhr Team
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