Instructions to use SethGA/neocortex-grounded with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SethGA/neocortex-grounded with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "SethGA/neocortex-grounded") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a64bf73aa8d4d3397816c6971b92b5fe79190af81d74361d6cd43e40fea5f36
- Size of remote file:
- 5.12 kB
- SHA256:
- d6d8d129ed8e23011f5b103387cd6ac01a9c31d5c0885ddc5c2bb414d30a4043
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