Instructions to use ByteForge/Deepseek_1.3b_instruct_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ByteForge/Deepseek_1.3b_instruct_adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-1.3b-instruct") model = PeftModel.from_pretrained(base_model, "ByteForge/Deepseek_1.3b_instruct_adapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfa400ca876e1f7576ad010b3ab4c8f191f429cd676e6b9d9ecb9882ee086ce3
- Size of remote file:
- 327 MB
- SHA256:
- 661d7af9e718969d48c5058d7b04423144f62bb99c57544cea4e3ca1a3f22855
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