Vikhrmodels / Borealis

huggingface.co
Total runs: 77.0K
24-hour runs: 49
7-day runs: 329
30-day runs: 76.7K
Model's Last Updated: September 18 2025
automatic-speech-recognition

Introduction of Borealis

Model Details of Borealis

Демо в Colab

Borealis
Описание

Borealis - это наша первая audio llm c ASR для русского языка. В этом репозитории представлен чекпоинт, который видел примерно 7000 часов аудио на русском языке. Важным отличием от других моделей является то, что тут есть поддержка пунктуации в распознанных аудио. Архитектура во многом вдохновлена Voxtral , но отличается в некоторых моментах.

Использование
from transformers import AutoModelForCausalLM, AutoTokenizer, AutoFeatureExtractor
import torch
import librosa

model = AutoModelForCausalLM.from_pretrained("Vikhrmodels/Borealis", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("Vikhrmodels/Borealis")
extractor = AutoFeatureExtractor.from_pretrained("Vikhrmodels/Borealis")

generation_params = {
        "max_new_tokens": 350,
        "do_sample": True,
        "top_p": 0.9,
        "top_k": 50,
        "temperature": 0.2,
 }

model.eval()
model.to("cuda")

waveform, sr = librosa.load("path/to/your/audio.wav", sr=16_000)

proc = extractor(
        waveform,
        sampling_rate=sr,
        padding="max_length",
        max_length=480_000,
        return_attention_mask=True,
        return_tensors="pt",
    )

mel = proc.input_features.squeeze(0).to("cuda")
att_mask = proc.attention_mask.squeeze(0).to("cuda")

with torch.inference_mode():
    transcript = model.generate(mel=mel, att_mask=att_mask, **generation_params)

print(transcript)
Метрики модели

Ниже представлены замеры Borealis на фоне остальных открытых моделей, который поддерживают русский язык. Бенчмарк мы скоро выложим в открытый доступ

Модель Средний WER RuLS CV 22.0 Books Speak Sova
Borealis 6.33% 6.39% 2.67% 5.28% 1.95% 15.37%
GigaAM-ASR-V2-RNNT 5.85% 5.24% 2.85% 8.06% 3.08% 10.01%
openai/whisper-large-v3 10.74% 11.62% 7.51% 12.19% 2.74% 19.65%
bond005/whisper-podlodka-turbo 9.38% 11.91% 6.36% 8.96% 3.14% 16.55%
openai/whisper-large-v3-turbo 11.30% 11.88% 8.17% 13.29% 2.80% 20.37%
bond005/whisper-large-v3-ru-podlodka 10.76% 10.24% 7.80% 10.31% 3.23% 22.21%
nvidia/canary-1b-v2 13.52% 20.16% 9.12% 11.45% 4.97% 21.89%
VOSK-model-ru-0.42 11.30% 12.06% 11.87% 10.80% 2.61% 19.15%
GigaAM-ASR-V2-CTC 6.45% 5.26% 3.42% 7.72% 3.01% 12.86%
Авторы
  • Илья Кулешов, Vikhr Team
  • Александр Николич, Vikhr Team

Runs of Vikhrmodels Borealis on huggingface.co

77.0K
Total runs
49
24-hour runs
191
3-day runs
329
7-day runs
76.7K
30-day runs

More Information About Borealis huggingface.co Model

More Borealis license Visit here:

https://choosealicense.com/licenses/apache-2.0

Borealis huggingface.co

Borealis huggingface.co is an AI model on huggingface.co that provides Borealis's model effect (), which can be used instantly with this Vikhrmodels Borealis model. huggingface.co supports a free trial of the Borealis model, and also provides paid use of the Borealis. Support call Borealis model through api, including Node.js, Python, http.

Vikhrmodels Borealis online free

Borealis huggingface.co is an online trial and call api platform, which integrates Borealis's modeling effects, including api services, and provides a free online trial of Borealis, you can try Borealis online for free by clicking the link below.

Vikhrmodels Borealis online free url in huggingface.co:

https://huggingface.co/Vikhrmodels/Borealis

Borealis install

Borealis is an open source model from GitHub that offers a free installation service, and any user can find Borealis on GitHub to install. At the same time, huggingface.co provides the effect of Borealis install, users can directly use Borealis installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Borealis install url in huggingface.co:

https://huggingface.co/Vikhrmodels/Borealis

Url of Borealis

Provider of Borealis huggingface.co

Vikhrmodels
ORGANIZATIONS

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