Instructions to use dada22231/8e20aad4-3010-401a-8e2e-b0bdfdcfd3e0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/8e20aad4-3010-401a-8e2e-b0bdfdcfd3e0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "dada22231/8e20aad4-3010-401a-8e2e-b0bdfdcfd3e0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 532f2b7b06a857a05dbb515f659da9aaec6378db08a0fa410f0302a3a08d0584
- Size of remote file:
- 320 MB
- SHA256:
- c5369595cb249b01c76fa3af44facd23cec88b2581d3b9805a85d190019e4ef9
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