Instructions to use prxy5605/f7ed0bcf-e7af-43cc-acba-2d4ef6c42b7e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/f7ed0bcf-e7af-43cc-acba-2d4ef6c42b7e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("elyza/Llama-3-ELYZA-JP-8B") model = PeftModel.from_pretrained(base_model, "prxy5605/f7ed0bcf-e7af-43cc-acba-2d4ef6c42b7e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7e6b33345d28dd8b8091fbacc203b13b91ed487efdb65eddae70b3ed8d060c5
- Size of remote file:
- 6.84 kB
- SHA256:
- 9295d1e156fd348c4f6e98f8b830f7a1177feef9a72b76f74205595afcd8dab0
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