Instructions to use cunghoctienganh/3078a88d-8409-4085-8e44-3662252396ee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/3078a88d-8409-4085-8e44-3662252396ee 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, "cunghoctienganh/3078a88d-8409-4085-8e44-3662252396ee") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c1ee73e9c1bfdaa519b391a2a9d75e8a74898d23cba1ffe17f63339bd17e374
- Size of remote file:
- 41.7 MB
- SHA256:
- 2a05325e7507a523f96d5a9149b731729e90808e1b57ea91632885d0eff560ac
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