Text Generation
PEFT
Safetensors
English
qwen3
python
code-generation
post-training
lora
supervised-fine-tuning
conversational
Instructions to use Eternity5551/Qwen3-1.7B-Python-Code-LoRA-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Eternity5551/Qwen3-1.7B-Python-Code-LoRA-SFT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-1.7B-Base") model = PeftModel.from_pretrained(base_model, "Eternity5551/Qwen3-1.7B-Python-Code-LoRA-SFT") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Eternity5551/Qwen3-1.7B-Python-Code-LoRA-SFT: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Eternity5551/Qwen3-1.7B-Python-Code-LoRA-SFT/resolve/main/tokenizer.json
- Command line
-
hf download hf://Eternity5551/Qwen3-1.7B-Python-Code-LoRA-SFT/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Eternity5551/Qwen3-1.7B-Python-Code-LoRA-SFT/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- dde3c5a4d468da6fe61f11ffa8f04af2d101f8f4a0fe118c37bd31bb8c3017b6
- Size of remote file:
- 11.4 MB
- SHA256:
- be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.