Instructions to use dimasik2987/814f19b2-e567-48bd-b878-462707019cfe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik2987/814f19b2-e567-48bd-b878-462707019cfe 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, "dimasik2987/814f19b2-e567-48bd-b878-462707019cfe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6742c0332b7d3a4b6a020913c6fbf140ad5760dd18ed942ab08979aab33b24af
- Size of remote file:
- 336 MB
- SHA256:
- fa390c3c685177dba72cd5dd2741f0884532f73d606cfe0bd800ab64bfa7e136
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