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 split.json from ali4566544/qwen2.5-0.5b-instruct-python-lora: direct link, hf CLI and curl.
- Browser
- Download file 2.85 kB
-
https://huggingface.co/ali4566544/qwen2.5-0.5b-instruct-python-lora/resolve/main/split.json
- Command line
-
hf download hf://ali4566544/qwen2.5-0.5b-instruct-python-lora/split.json
-
curl -L -o split.json https://huggingface.co/ali4566544/qwen2.5-0.5b-instruct-python-lora/resolve/main/split.json
2.85 kB
| { | |
| "seed": 42, | |
| "n_clusters": 244, | |
| "sizes": { | |
| "test": 34, | |
| "validation": 42, | |
| "train": 259 | |
| }, | |
| "method": "Jaccard>=0.6 clustering of instruction words, cluster-level shuffle split", | |
| "row_ids": { | |
| "test": [ | |
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| ], | |
| "validation": [ | |
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| ], | |
| "train": [ | |
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| ] | |
| } | |
| } |