Text Generation
PEFT
TensorBoard
Safetensors
gemma
trl
sft
Generated from Trainer
conversational
4-bit precision
bitsandbytes
Instructions to use BotatoFontys/FinetunedModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BotatoFontys/FinetunedModel with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-1.1-2b-it") model = PeftModel.from_pretrained(base_model, "BotatoFontys/FinetunedModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 831f0f7d0ff284065f02ee723e8060774d6239d8b1de6fa046426edb1178ec97
- Size of remote file:
- 4.92 kB
- SHA256:
- b92153b3241bb1519eecab55bd0f1440b41f1b7f9f982aa9d328c5b0c45224dc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.