Instructions to use laquythang/5bad54b6-e7b2-43d8-bb2e-cbc5d064f10c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/5bad54b6-e7b2-43d8-bb2e-cbc5d064f10c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b") model = PeftModel.from_pretrained(base_model, "laquythang/5bad54b6-e7b2-43d8-bb2e-cbc5d064f10c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0582f1a4ba63564dab9871fd8b45ddda4eea43c75b1f87eed3401ea83ed2c22
- Size of remote file:
- 51 MB
- SHA256:
- e314aac90b989b2dbd39d91081332f3b1dc8eaa356fa4d817726da3306e8bff0
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