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:
- 6600ca6a10322a5ef78d9c7007a05f97ae90cce7706d72d296466a468ba2b3fe
- Size of remote file:
- 5.11 kB
- SHA256:
- 24d168f67b15d9850d34f6bc2e1fb4970e6c27f174fc646ee367f585abf77801
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