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:
- 78af695675c4fc8453e45a039d33450bec835340edcdac08f9a1af71f046ab0d
- Size of remote file:
- 11.4 MB
- SHA256:
- e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
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