Instructions to use dugoalberto/DeepCoder_1.3_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dugoalberto/DeepCoder_1.3_LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-1.3b-base") model = PeftModel.from_pretrained(base_model, "dugoalberto/DeepCoder_1.3_LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a5248b347787bfb122d9ddae9249c46b8a4c73ce5f1970e3a656ebedbaccbe7
- Size of remote file:
- 5.11 kB
- SHA256:
- e27b432903b5cff66a22d2996f3c7077896fa621283a51c4e6e58f2c0d3ea675
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