Any-to-Any
Transformers
Safetensors
lfm3_audio
automatic-speech-recognition
liquid
lfm3
audio
speech
edge
conversational
multilingual
custom_code
Instructions to use eustlb/LFM3-Audio-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eustlb/LFM3-Audio-2B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMultimodalLM model = AutoModelForMultimodalLM.from_pretrained("eustlb/LFM3-Audio-2B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Native transformers configs (huggingface/transformers#50393)
#1
by eustlb HF Staff - opened
Native config.json / generation_config.json / processor_config.json for the LFM3-Audio integration in transformers (huggingface/transformers#50393). No auto_map; weights untouched, the legacy keys load through conversion_mapping. The processor references the codec at eustlb/LFM3-Audio-2B-codec. generation_config.json: eos_token_id is <|im_end|> only (<|text_end|> only closes an interleaved block).