Instructions to use Jnx03/kanitakorn-20260613-stage1-qwen35-step80 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jnx03/kanitakorn-20260613-stage1-qwen35-step80 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-9B") model = PeftModel.from_pretrained(base_model, "Jnx03/kanitakorn-20260613-stage1-qwen35-step80") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44a7e4f379cd8487ca514f3be6f9001cafcab2e3470a5168db85dc028eee0457
- Size of remote file:
- 466 MB
- SHA256:
- 4815ffbdf2a3025ec7675b44b2edb5506f5b592f0f5f7c9205ec26721e983995
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