Audio-Text-to-Text
Transformers
Safetensors
lfm3_omni
feature-extraction
liquid
lfm3
edge
decision
classification
extraction
calibration
system-one
multimodal
audio
decision-model
custom_code
Eval Results
Instructions to use LiquidAI/d1-Omni-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LiquidAI/d1-Omni-2B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LiquidAI/d1-Omni-2B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Declare base_model: LiquidAI/LFM3-Omni-2B
#2
by richie-liquid - opened
d1-Omni-2B is built on LFM3-Omni-2B, as the card's text already says. This adds the matching base_model line to the front matter, after pipeline_tag as d1-3B does, so Hugging Face links d1-Omni-2B to its base model and lists it in the LFM3 model tree.
mlabonne changed pull request status to merged