Instructions to use SujanKarki/Qwen2.5-Coder-0.5B-Instruct_text_to_sql_qlora_newdataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SujanKarki/Qwen2.5-Coder-0.5B-Instruct_text_to_sql_qlora_newdataset with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "SujanKarki/Qwen2.5-Coder-0.5B-Instruct_text_to_sql_qlora_newdataset") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-3000/rng_state.pth from SujanKarki/Qwen2.5-Coder-0.5B-Instruct_text_to_sql_qlora_newdataset: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/SujanKarki/Qwen2.5-Coder-0.5B-Instruct_text_to_sql_qlora_newdataset/resolve/main/checkpoint-3000/rng_state.pth
- Command line
-
hf download hf://SujanKarki/Qwen2.5-Coder-0.5B-Instruct_text_to_sql_qlora_newdataset/checkpoint-3000/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/SujanKarki/Qwen2.5-Coder-0.5B-Instruct_text_to_sql_qlora_newdataset/resolve/main/checkpoint-3000/rng_state.pth
14.2 kB
- Xet hash:
- 129f296deb48bf4f1b60824f1c1141615a320a88826f3ee373ea4cde9eb11402
- Size of remote file:
- 14.2 kB
- SHA256:
- 1411178f1a46e0cd132aaf7046a5f91a8f1d4315481351101d97356f24be1bbe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.