Instructions to use eeeebbb2/57473b92-4192-49cb-9c74-0b29a21addf8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/57473b92-4192-49cb-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, "eeeebbb2/57473b92-4192-49cb-9c74-0b29a21addf8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4213dd06a4918cf6b992a7823d908c874ad09237083b00c9c6c1f57e64386089
- Size of remote file:
- 6.84 kB
- SHA256:
- dfc49d8a27911f5969781dd459b390367e60977aa4f00e6eb1617311dca2d15b
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