Instructions to use prxy5608/5de747e3-5418-48df-9d53-3769599cfbcf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/5de747e3-5418-48df-9d53-3769599cfbcf with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "prxy5608/5de747e3-5418-48df-9d53-3769599cfbcf") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1eedf38e0d963b5e4951f4f0fa98fc08297f10beb0164f53b980cd10818c40a
- Size of remote file:
- 671 MB
- SHA256:
- 63ac8b670c0b2217d4693a909e83ce02625a09df5fa48a2d13c03c02529051f9
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