Instructions to use Jnx03/kanitakorn-v50-deepseek-v48b0106-from-v44c4-lr5e7-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jnx03/kanitakorn-v50-deepseek-v48b0106-from-v44c4-lr5e7-final with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/DeepSeek-R1-Distill-Qwen-14B") model = PeftModel.from_pretrained(base_model, "Jnx03/kanitakorn-v50-deepseek-v48b0106-from-v44c4-lr5e7-final") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed5dd12b061e64b6ad8e8746e08ca1cf36e762fff9e4dbb8f7231dd041d2109b
- Size of remote file:
- 5.78 kB
- SHA256:
- baa7fd7625bc06ea15bba7b8078f456286c4e4cfefb573d40254d9e52f30a051
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