Instructions to use nblinh/a2d98727-e288-4d54-944b-5311a07b14fd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nblinh/a2d98727-e288-4d54-944b-5311a07b14fd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "nblinh/a2d98727-e288-4d54-944b-5311a07b14fd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eccdb1dd9f6fd67956363df0ee7a8b7b9df2dda8442871f49d8bf56ba7aefb17
- Size of remote file:
- 83.2 MB
- SHA256:
- 4a8d9b9f9ff21dd3df4ccde90340cf384535b248ed3fffe045e71ba14b3b46e3
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