Instructions to use MarcosEdu/Skyrim_D-Coder-V2-16B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MarcosEdu/Skyrim_D-Coder-V2-16B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct") model = PeftModel.from_pretrained(base_model, "MarcosEdu/Skyrim_D-Coder-V2-16B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40a5863c24c1146091ad43f775c57a797536bf804bc2f4c9cc9311cb741a09ce
- Size of remote file:
- 2.37 GB
- SHA256:
- e7a213c4973235a3c80c2b0a172d4e5ee872cb90a201195267f6c64109d22f7d
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