Instructions to use andstor/bigcode-starcoder2-7b-unit-test-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use andstor/bigcode-starcoder2-7b-unit-test-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-7b") model = PeftModel.from_pretrained(base_model, "andstor/bigcode-starcoder2-7b-unit-test-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ca7c46bf8b393bee0f952bb59658e3942365ac815fea943c6c257af78b2d403
- Size of remote file:
- 5.11 kB
- SHA256:
- a9380082a0a61409b4312296e936a5995e8cc1d9f82f4532bbc55da5403cead1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.