Instructions to use nbsts/train_2024-01-03-02-43-22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nbsts/train_2024-01-03-02-43-22 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-hf") model = PeftModel.from_pretrained(base_model, "nbsts/train_2024-01-03-02-43-22") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 719e3a591becbb531a1ba0b413b6f80106d83e4b2fcb4e38e0a9660ccc187bf3
- Size of remote file:
- 26.2 MB
- SHA256:
- a0b4a88864c3ffdd465afcd0fa14bfae2014a6052f2bfa8bcaca0dab78b73038
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