Instructions to use duyphu/6dc5c693-bd8b-469b-8884-71b4941f4e88 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/6dc5c693-bd8b-469b-8884-71b4941f4e88 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, "duyphu/6dc5c693-bd8b-469b-8884-71b4941f4e88") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4af50778fcb102f4e211a2632267814cbf2a9b815821ba06d682257c99d9c441
- Size of remote file:
- 41.7 MB
- SHA256:
- cae431c21ac66e1ec36babbed6cc2877d774a5c05e8df4962775e517facb41fd
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