Instructions to use ali4566544/qwen2.5-0.5b-instruct-python-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ali4566544/qwen2.5-0.5b-instruct-python-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "ali4566544/qwen2.5-0.5b-instruct-python-lora") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ali4566544/qwen2.5-0.5b-instruct-python-lora: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/ali4566544/qwen2.5-0.5b-instruct-python-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://ali4566544/qwen2.5-0.5b-instruct-python-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ali4566544/qwen2.5-0.5b-instruct-python-lora/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- ff206f79d3c0e627de7956b4ef37c2b8eeab5e83490ff04516bc674e4c1d6e77
- Size of remote file:
- 11.4 MB
- SHA256:
- 5eee858c5123a4279c3e1f7b81247343f356ac767940b2692a928ad929543214
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