Instructions to use VinitT/Commentary-qwen-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VinitT/Commentary-qwen-3B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "VinitT/Commentary-qwen-3B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3c7418068651b8ef0a461219db4e9e67501b0bda29e533fb4a0764819bbab86
- Size of remote file:
- 8.25 kB
- SHA256:
- b442cfd75b4dd10ba7aaa19cf9b2914b8a2812f97b058d410b00c6824204269e
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