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:
- 2e95394ce69b21ce6c1fd55fe27b996a49d1c36250f20b9f8afd15c6462ab095
- Size of remote file:
- 320 MB
- SHA256:
- d7b096c0cb82bbe8c4710b8b3f4b5ca6072fc0f193e9549aa9302be9f024f033
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