Instructions to use SmilingManiac/finetune_starcoder2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SmilingManiac/finetune_starcoder2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "SmilingManiac/finetune_starcoder2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9276a2753e122a35621ecdae8d57610e2b4d5e1550a4c75c47a59cbb32ed4ac3
- Size of remote file:
- 2.25 GB
- SHA256:
- 1e71ad0379d034e800884ce776091d43a5aca33c0e62353b42b7066a0de8739c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.