Instructions to use kokovova/ba5979ab-c8b6-40c8-82a5-7e33cb651d62 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kokovova/ba5979ab-c8b6-40c8-82a5-7e33cb651d62 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, "kokovova/ba5979ab-c8b6-40c8-82a5-7e33cb651d62") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0efab7dc95ef37cee68ad9ef249e90bb48e3cede92edf05479ccf4427c381b15
- Size of remote file:
- 6.84 kB
- SHA256:
- bc9a1d18150d80a64b7dbacf519f0025f7ea113f553e9191ef2d214c4336111d
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