Instructions to use prxy5607/bd5a8843-00c3-4eea-bc1a-ebe060cf6959 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5607/bd5a8843-00c3-4eea-bc1a-ebe060cf6959 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-random-GemmaForCausalLM") model = PeftModel.from_pretrained(base_model, "prxy5607/bd5a8843-00c3-4eea-bc1a-ebe060cf6959") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77077e71eae616ddd503047c2d0b775f4458702a8ce26361c56ee63c575d0010
- Size of remote file:
- 6.84 kB
- SHA256:
- f8916a8d904669c39baa6190424c5fbda8a9022d1e7e535465ba7389e54e6ba4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.