Instructions to use 1-lock/57473b92-4192-49cb-9c74-0b29a21addf8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/57473b92-4192-49cb-9c74-0b29a21addf8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "1-lock/57473b92-4192-49cb-9c74-0b29a21addf8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4be141fec7c7d6bfb2d17a074f35d697224fb71d00808b0d235e70a4973ac683
- Size of remote file:
- 336 MB
- SHA256:
- ea116a74a3fcedbf4ea4277cef2d35aacfc616c972a7646950c6be04f402b66e
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