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:
- d5334902c1e2dd3001591f51d3137251b04d894d427c9646f620dcf4ec0e2297
- Size of remote file:
- 6.78 kB
- SHA256:
- 3e0335ba825f03c6904ee0a11df42cae8062b57eee3ee228e174d9fed0e9d822
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