PEFT
TensorBoard
Safetensors
gemma
alignment-handbook
trl
sft
Generated from Trainer
4-bit precision
bitsandbytes
Instructions to use llama-duo/gemma2b-summarize-gemini1_5flash-2k 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-2k 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-2k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c8a7bcd9402e9f3369faab24dbcdbd75ca1b1090194fca3b1b4c97bd3c02336
- Size of remote file:
- 5.18 kB
- SHA256:
- 70080554187bade80f1690416ce789a6830583639d3759bf3193c84c2f502103
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