Instructions to use ancient41/0475e6d4-46d9-41d5-b66e-44233e712d2e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ancient41/0475e6d4-46d9-41d5-b66e-44233e712d2e 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, "ancient41/0475e6d4-46d9-41d5-b66e-44233e712d2e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56f74075cb550939c0366c3f935073a2f9b8d5aaeeb0a7e36eb32c77045e95c7
- Size of remote file:
- 671 MB
- SHA256:
- 9d50e4beb896fd4fcc35bc395cc1d2125fe3d9c554a4ad20ef59bf6558300e64
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