Instructions to use eosphoros/CodeLlama-13b-sql-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eosphoros/CodeLlama-13b-sql-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/model_files/codellama/CodeLlama-13b-Instruct-hf") model = PeftModel.from_pretrained(base_model, "eosphoros/CodeLlama-13b-sql-lora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from eosphoros/CodeLlama-13b-sql-lora: direct link, hf CLI and curl.
- Browser
- Download file 210 MB
-
https://huggingface.co/eosphoros/CodeLlama-13b-sql-lora/resolve/main/adapter_model.bin
- Command line
-
hf download hf://eosphoros/CodeLlama-13b-sql-lora/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/eosphoros/CodeLlama-13b-sql-lora/resolve/main/adapter_model.bin
210 MB
- Xet hash:
- 5c257e56a95205fb61bf93e3dad7bb5c73bd74524690b9896bc97217bf0e8fe5
- Size of remote file:
- 210 MB
- SHA256:
- 17465154ebf39490592fab680f319d692b019002de17d58460f1f1745722266b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.