Instructions to use tybritten/lora-for-starcoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tybritten/lora-for-starcoder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/tmp/model") model = PeftModel.from_pretrained(base_model, "tybritten/lora-for-starcoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dce21ab72fd8a04c711a934c53ccc224af18edc45ad8a5c97507e9652d17c24e
- Size of remote file:
- 142 MB
- SHA256:
- b228d055c781906585629b5ea0304641fd3323d035c7faada1eb6a03a2afdd88
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.