Instructions to use stojchet/python-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use stojchet/python-sft 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") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from stojchet/python-sft: direct link, hf CLI and curl.
- Browser
- Download file 50.3 MB
-
https://huggingface.co/stojchet/python-sft/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://stojchet/python-sft/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/stojchet/python-sft/resolve/main/adapter_model.safetensors
50.3 MB
- Xet hash:
- bbbec9e05a558c83fdaf532173c85602f7d34e2f8dc647a7790cf551974a56b8
- Size of remote file:
- 50.3 MB
- SHA256:
- 02d4ed5722f80d255f616fdcd62c7a4f55d08f0bef166edeee65351694f9bfd7
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