Instructions to use laquythang/48010555-f89c-43f1-a237-b479ea7ca2fd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/48010555-f89c-43f1-a237-b479ea7ca2fd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lcw99/zephykor-ko-7b-chang") model = PeftModel.from_pretrained(base_model, "laquythang/48010555-f89c-43f1-a237-b479ea7ca2fd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9afe82c042cdaf547121b720bfaca208670aaf79882faab92b56074605db572
- Size of remote file:
- 6.78 kB
- SHA256:
- c6e893c6e2b90c4f464e83ca32ce0e8c5b559f5de6cfdf9c18eb90e0fdf49109
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