Instructions to use eeeebbb2/6f0d2e5b-1d77-4e06-9478-e20bfab370bb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/6f0d2e5b-1d77-4e06-9478-e20bfab370bb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MLP-KTLim/llama-3-Korean-Bllossom-8B") model = PeftModel.from_pretrained(base_model, "eeeebbb2/6f0d2e5b-1d77-4e06-9478-e20bfab370bb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f491226390a751029ae753cb09c9ae1df1e6d36c66ab3d9a6d00d79102de7e0
- Size of remote file:
- 1.06 kB
- SHA256:
- d271cdb95f63cd655315f063ca2e25c78dc5ae4275523c5d4f80f367586b3351
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