Instructions to use Rayabharapu/starcoder2-3b-19k-20k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rayabharapu/starcoder2-3b-19k-20k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "Rayabharapu/starcoder2-3b-19k-20k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 230220ee9b0a8082b4b9330aa8147e393d48e23d4bbd0936655c50ce483557e4
- Size of remote file:
- 5.43 kB
- SHA256:
- bdbd33ba213eece6b91d4967910265879000d177fc64a633a9fd2beb8f683fd6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.