Instructions to use josephmayo/ZAYA1-8B-Coder-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use josephmayo/ZAYA1-8B-Coder-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Zyphra/ZAYA1-8B") model = PeftModel.from_pretrained(base_model, "josephmayo/ZAYA1-8B-Coder-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22e16edd5a5c6cdc845c3ccadd3412660e946079fe99fa9323f0fa546c68d274
- Size of remote file:
- 33.4 MB
- SHA256:
- 597558b111b68c4a0422794791c737c7fd04b03369d81a7dc6197b2acfb35270
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