Text Generation
PEFT
Safetensors
English
lora
gemma2
mechanistic-interpretability
epistemic-fine-tuning
ai-safety
logos
substrate-persistence
Instructions to use LumenSyntax/logos23-gemma2-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LumenSyntax/logos23-gemma2-2b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b") model = PeftModel.from_pretrained(base_model, "LumenSyntax/logos23-gemma2-2b") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from LumenSyntax/logos23-gemma2-2b: direct link, hf CLI and curl.
- Browser
- Download file 4.24 MB
-
https://huggingface.co/LumenSyntax/logos23-gemma2-2b/resolve/9a603b6d9879594c1c39bda826280d27325d3bb6/tokenizer.model
- Command line
-
hf download hf://LumenSyntax/logos23-gemma2-2b@9a603b6d9879594c1c39bda826280d27325d3bb6/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/LumenSyntax/logos23-gemma2-2b/resolve/9a603b6d9879594c1c39bda826280d27325d3bb6/tokenizer.model
4.24 MB
- Xet hash:
- 4747d621061ff864406560d79c8c3e355c05f2e88ba30eba88c8d5881d3d220d
- Size of remote file:
- 4.24 MB
- SHA256:
- 61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
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