Any-to-Any
Transformers
Safetensors
lfm3_audio
automatic-speech-recognition
liquid
lfm3
audio
speech
edge
conversational
multilingual
custom_code
Eval Results
Instructions to use LiquidAI/LFM3-Audio-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LiquidAI/LFM3-Audio-2B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMultimodalLM model = AutoModelForMultimodalLM.from_pretrained("LiquidAI/LFM3-Audio-2B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add evaluation results
#24
by SaylorTwift HF Staff - opened
.eval_results/LFM3-Audio-2B.yaml
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- dataset:
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id: hf-audio/open-asr-leaderboard
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task_id: mean_wer
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value: 6.23
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date: "2026-10-27"
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source:
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url: https://huggingface.co/LiquidAI/LFM3-Audio-2B
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name: "LFM3-Audio-2B model card"
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