Instructions to use crowbarmassage/DeepCoder14B_DSPy_8-bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use crowbarmassage/DeepCoder14B_DSPy_8-bit with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("agentica-org/DeepCoder-14B-Preview") model = PeftModel.from_pretrained(base_model, "crowbarmassage/DeepCoder14B_DSPy_8-bit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 315310568f30f7565a7f050625bdbb73abd080580dbbc81c60e4a186f79e8602
- Size of remote file:
- 5.69 kB
- SHA256:
- 7464b1925680aabc465131e3ad7e77f68d790607b939f26d2e645998254158cd
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