Text Generation
PEFT
Safetensors
PyTorch
llama
lora
code-generation
neural-architecture-search
delta-nas
conversational
Instructions to use ABrain/Delta-NAS-DeepSeek-Coder-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ABrain/Delta-NAS-DeepSeek-Coder-7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-7b-instruct-v1.5") model = PeftModel.from_pretrained(base_model, "ABrain/Delta-NAS-DeepSeek-Coder-7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdfed6d1f885a13808acc0cb4909f1e7dbb4d8413d7e2057452ecfcd286c888a
- Size of remote file:
- 3.85 GB
- SHA256:
- 8014233f95dccba2f8ed55c201ff8ae397a74033ef4b93abd615532077441b1d
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