Instructions to use franckverrot/lev-350m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use franckverrot/lev-350m with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("LiquidAI/LFM2.5-350M") model = PeftModel.from_pretrained(base_model, "franckverrot/lev-350m") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from franckverrot/lev-350m: direct link, hf CLI and curl.
- Browser
- Download file 4.73 MB
-
https://huggingface.co/franckverrot/lev-350m/resolve/main/tokenizer.json
- Command line
-
hf download hf://franckverrot/lev-350m/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/franckverrot/lev-350m/resolve/main/tokenizer.json
4.73 MB
File too large to display, you can check the raw version instead.