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
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
Download tokenizer.json from LiquidAI/d1-Omni-2B: direct link, hf CLI and curl.
- Browser
- Download file 17.9 MB
-
https://huggingface.co/LiquidAI/d1-Omni-2B/resolve/main/tokenizer.json
- Command line
-
hf download hf://LiquidAI/d1-Omni-2B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/LiquidAI/d1-Omni-2B/resolve/main/tokenizer.json
17.9 MB
- Xet hash:
- b47d0816fa05402a8e3b414ce7b9b6bd28c928e0a120b590bfb4308d1681c223
- Size of remote file:
- 17.9 MB
- SHA256:
- 41927bd314d17d7d7fadb44e10cd0919f7b71528d7741596d8cbd15c6945ec44
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