Instructions to use dugoalberto/deepseek-coder-6.7b_LoRA_python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dugoalberto/deepseek-coder-6.7b_LoRA_python 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, "dugoalberto/deepseek-coder-6.7b_LoRA_python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cef96878b9ac0a8d7005b242e62c9ad9668388021c4bb1aa41090073bf6c9add
- Size of remote file:
- 268 MB
- SHA256:
- e84df6f67361a3961c54f37184588055a3c8cf25e0abfd7c39a90305ef33f70c
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