Instructions to use havinash-ai/6fad3fdb-9ff4-4da9-902c-b4b8a14e8012 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/6fad3fdb-9ff4-4da9-902c-b4b8a14e8012 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("princeton-nlp/gemma-2-9b-it-SimPO") model = PeftModel.from_pretrained(base_model, "havinash-ai/6fad3fdb-9ff4-4da9-902c-b4b8a14e8012") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfeb30c2c29dc1837360e4ab072cc4feef5765d9895ea727a685386ac73909ad
- Size of remote file:
- 432 MB
- SHA256:
- 07bc79033f878532d6218587dfd280061c45ec281a72bd73819148e2c98a036c
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