Instructions to use TinyPixel/ds-guanaco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TinyPixel/ds-guanaco 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, "TinyPixel/ds-guanaco") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 550566eff4aba17ba76079193b8decf4eccd62b2be66af7e4767db1992aada89
- Size of remote file:
- 240 MB
- SHA256:
- fb42107555e3e0ab171c8ba76aef09ec22f15e1f5f4f2e066290788a665aabd7
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