Instructions to use Jnx03/kanitakorn-v49-deepseek-v48b0106-from-v44c4-lr1e6-step2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jnx03/kanitakorn-v49-deepseek-v48b0106-from-v44c4-lr1e6-step2 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-v49-deepseek-v48b0106-from-v44c4-lr1e6-step2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e08f2628dafd6040af7adbd5105e5b6666992fe5bd32d392ede9d63c6d0df727
- Size of remote file:
- 5.78 kB
- SHA256:
- 5d466b64a4d4998d50b5aa05c6fb119406af14f412dd4c97952405621a6c44e7
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