Instructions to use Jnx03/kanitakorn-v49b-deepseek-v48b0106-from-v44c4-lr15e7-step2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jnx03/kanitakorn-v49b-deepseek-v48b0106-from-v44c4-lr15e7-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-v49b-deepseek-v48b0106-from-v44c4-lr15e7-step2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84eec283f7f3dd42eba7c338c39ad10bd1bc3b5a803c2946c2477b7e97d31429
- Size of remote file:
- 11.4 MB
- SHA256:
- e72d364a37413ca00a9000b2d2cff0be9c4511c6d1565263dcca665c5911c4ca
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