Instructions to use stojchet/python-sft-10k-good-r64-a16-d0.05-e3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use stojchet/python-sft-10k-good-r64-a16-d0.05-e3 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-good-r64-a16-d0.05-e3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 051fde706735a0fda4ac43c59d78f4b0a778257e4e070efabfba9f3787352c10
- Size of remote file:
- 5.18 kB
- SHA256:
- 9bac3fcb62ab4327c55dfa4b782d563e4493ef4fd1c78836e7184c4a775f4fb0
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