Instructions to use msteinhaus/fourthbrain-llm-mks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use msteinhaus/fourthbrain-llm-mks with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-3b") model = PeftModel.from_pretrained(base_model, "msteinhaus/fourthbrain-llm-mks") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 145203908e6b09fef538aa955d8fac4848a9b3fc24af6463bd75cc4b599c99ab
- Size of remote file:
- 9.85 MB
- SHA256:
- d4fa0d7bb44c55b7e0f23782794dc39d7897613f144c3455e6c7f48106795471
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