Instructions to use ysr/hyperparam-rust-sft-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ysr/hyperparam-rust-sft-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-1.3b-base") model = PeftModel.from_pretrained(base_model, "ysr/hyperparam-rust-sft-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a37cca398998db00496181da47f0b553579158968941d702580a50c33ba0f3e
- Size of remote file:
- 4.92 kB
- SHA256:
- a2247bb79d70a2c0061f08825809540083701a72d23993237e18e744b81f6631
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.