Instructions to use beast33/9f2387b3-6a2c-4a8b-957e-e1c917a74ce5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beast33/9f2387b3-6a2c-4a8b-957e-e1c917a74ce5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("beomi/polyglot-ko-12.8b-safetensors") model = PeftModel.from_pretrained(base_model, "beast33/9f2387b3-6a2c-4a8b-957e-e1c917a74ce5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5dd83ab81aa9377e10040aa495f84ac998767edb23b4dc12d9f4d13ee367e37d
- Size of remote file:
- 6.84 kB
- SHA256:
- b2a79b0af62ffe49af2cd11ec8f8dc53c1aa62bb9782109754a7cddc0fd74265
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