Instructions to use cunghoctienganh/3ed43999-3beb-4330-81b4-8ead0dc69c66 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/3ed43999-3beb-4330-81b4-8ead0dc69c66 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/3ed43999-3beb-4330-81b4-8ead0dc69c66") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a09fa930e4108a78bf84ec49fb21ed7c4826a9ee99ccb83d1fc0d8ddd887f047
- Size of remote file:
- 6.78 kB
- SHA256:
- 03f40af6e13ca3a9758997c8f97c8eb81724715b8ea7c0aa7b17b0e983931a71
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