Instructions to use Ferrag/Trust-DeepCoder-6.7b-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ferrag/Trust-DeepCoder-6.7b-Instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-6.7b-base") model = PeftModel.from_pretrained(base_model, "Ferrag/Trust-DeepCoder-6.7b-Instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10f6f7ae2626c585abc8863f373423901d33c87a82110ede7f6b5ca103564827
- Size of remote file:
- 134 MB
- SHA256:
- c90be1e212b3c277d8b235e6240c599dd6c1ed67c7c4d1714cfcc7cb0e933462
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