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:
- 73037d669192888dc7587c9189abae949c4caa65ce1073b2e197fdd2ba9a4f00
- Size of remote file:
- 285 MB
- SHA256:
- 839ea7dd2124f1301588025fbf29900eeec3e4be34c5f6dabe0c938c82b51f8c
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