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:
- 442aedfe1a8451ff6d4e7b416f74b3e7c84fc36f53d7cbe89dc48e93bd95a470
- Size of remote file:
- 6.52 GB
- SHA256:
- 18dfdd7067e9a4837aa29ad3b34d650c432e5374748c5580051b51610e4e9175
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