Instructions to use dada22231/1742bdb8-56c6-43bf-8dd5-c10e8689c3f2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/1742bdb8-56c6-43bf-8dd5-c10e8689c3f2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0") model = PeftModel.from_pretrained(base_model, "dada22231/1742bdb8-56c6-43bf-8dd5-c10e8689c3f2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66e70f6e7cf41f53ee9efbae58b7fdf81c0e6ef0b5c0a751ece137bbeb9767ed
- Size of remote file:
- 336 MB
- SHA256:
- 3b72d5dfb4a7fc33029d67f39e553d5609bdc83b7ab5cce6bbef8d0ac70abbeb
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