Instructions to use mrHungddddh/ca2fa63d-c96b-4b5d-88df-4841dd2f4e51 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHungddddh/ca2fa63d-c96b-4b5d-88df-4841dd2f4e51 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3-8B-Alternate-Tokenizer") model = PeftModel.from_pretrained(base_model, "mrHungddddh/ca2fa63d-c96b-4b5d-88df-4841dd2f4e51") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 428ec01bbe09482dd6bfa31772cecda62ce61fde4b25cd337a91be6567d5bcd0
- Size of remote file:
- 6.78 kB
- SHA256:
- 6536080c59795584b18f3522f544f78826c6166f48305e0f359ad1aa79385527
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