Audio-to-Audio
Transformers
Safetensors
French
English
lfm2_audio
text-generation
lfm2
lfm2-audio
lfm2.5
speech-to-speech
french
Instructions to use Rcarvalo/lfm2a-fr-s12-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rcarvalo/lfm2a-fr-s12-hf with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Rcarvalo/lfm2a-fr-s12-hf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
lfm2a-fr s12-unique-sft, transformers layout
baptistefrancois1/lfm2a-fr (revision
s12-unique-sft: LFM2.5-Audio-1.5B fully fine-tuned for a French and English voice assistant, SIWIS voice in French)
converted to the native transformers layout with convert_lfm2_audio_to_hf of
PR #48249 (commit 4ac58b3). No additional training.
Weights, config, processor and the bundled audio detokenizer are included.
Loads with that branch of transformers:
from transformers import AutoProcessor, Lfm2AudioForConditionalGeneration
model = Lfm2AudioForConditionalGeneration.from_pretrained("Rcarvalo/lfm2a-fr-s12-hf")
processor = AutoProcessor.from_pretrained("Rcarvalo/lfm2a-fr-s12-hf")
Used as the teacher of the distillation into a 230M backbone in the Unsloth tutorial
(finetuning_liquidai/tutorials/unsloth-lfm2.5-audio). License of the weights: LFM Open License v1.0 (see LICENSE).
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Model tree for Rcarvalo/lfm2a-fr-s12-hf
Base model
baptistefrancois1/lfm2a-fr