Instructions to use baltop/deep_300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baltop/deep_300 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-6.7b-instruct") model = PeftModel.from_pretrained(base_model, "baltop/deep_300") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af48728b51277315543cc8541f79213d4392c2d2842ebff4cfa3e5eef8f5db5a
- Size of remote file:
- 81.8 MB
- SHA256:
- f8b76f69b45c82eee69c19d5042ce898acee824c780fd48d1932d8de81ab19ae
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