Instructions to use diaenra/748bb68b-420f-4b5a-9ee1-97a4c15fc712 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use diaenra/748bb68b-420f-4b5a-9ee1-97a4c15fc712 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/tiny-random-LlamaForCausalLM") model = PeftModel.from_pretrained(base_model, "diaenra/748bb68b-420f-4b5a-9ee1-97a4c15fc712") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed3edce27a03693c7b8ccd2c5b981d214014f315a68274a9a0440a46c9b633be
- Size of remote file:
- 104 kB
- SHA256:
- 9e60d020b8424d050facb5b8457caab98e500773cb9f9a5ab822fc503e09ff1d
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