Instructions to use andstor/Qwen-Qwen2.5-Coder-7B-unit-test-prompt-tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use andstor/Qwen-Qwen2.5-Coder-7B-unit-test-prompt-tuning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B") model = PeftModel.from_pretrained(base_model, "andstor/Qwen-Qwen2.5-Coder-7B-unit-test-prompt-tuning") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from andstor/Qwen-Qwen2.5-Coder-7B-unit-test-prompt-tuning: direct link, hf CLI and curl.
- Browser
- Download file 287 kB
-
https://huggingface.co/andstor/Qwen-Qwen2.5-Coder-7B-unit-test-prompt-tuning/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://andstor/Qwen-Qwen2.5-Coder-7B-unit-test-prompt-tuning/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/andstor/Qwen-Qwen2.5-Coder-7B-unit-test-prompt-tuning/resolve/main/adapter_model.safetensors
287 kB
- Xet hash:
- d3a4bae2310709845aaf44737a6da197f86be36633b7de3fbdde972c57220c5b
- Size of remote file:
- 287 kB
- SHA256:
- 3f05ebb369bc33291b32af29d70327481e06496661af5233b3c1fcba257e0940
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