PEFT
TensorBoard
Safetensors
gemma
alignment-handbook
trl
sft
Generated from Trainer
4-bit precision
bitsandbytes
Instructions to use llama-duo/gemma2b-summarize-gemini1_5flash-4k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use llama-duo/gemma2b-summarize-gemini1_5flash-4k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "llama-duo/gemma2b-summarize-gemini1_5flash-4k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b2ca512755157d4557c65acc1832728e08936352334588e8ba3637e792854ca
- Size of remote file:
- 5.18 kB
- SHA256:
- 11d91c8af61fbc32d8bd78e66a477a14a1bd6371d78bee49c309c30c00443ff5
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