Instructions to use stojchet/python-sft-10k-1e-r64-a16-d0.05-e1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use stojchet/python-sft-10k-1e-r64-a16-d0.05-e1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-1.3b-base") model = PeftModel.from_pretrained(base_model, "stojchet/python-sft-10k-1e-r64-a16-d0.05-e1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0348d3bb9c639ed4c4bad3d746fb013069fc609715f50e2963611c00a2971bdc
- Size of remote file:
- 5.18 kB
- SHA256:
- 7c1bb3a2c07a58d26b3e0bc473d8bc4fbf491e7ff8c498d1de743b58e9a2396c
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