Instructions to use johnnychang4/deepseek_coder_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use johnnychang4/deepseek_coder_v2 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, "johnnychang4/deepseek_coder_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8128098d9a66f4ac2e7bb91b013cf6eff872661d3d822b418724796ffc892af
- Size of remote file:
- 5.18 kB
- SHA256:
- 67b82cefcbb981f54ee3fa4fec2e5630776bfd224a5cda00d4490b341f91fd67
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