Instructions to use havinash-ai/ffe07dca-d455-4a7e-a548-4a3afe87d6c9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/ffe07dca-d455-4a7e-a548-4a3afe87d6c9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-410m-deduped") model = PeftModel.from_pretrained(base_model, "havinash-ai/ffe07dca-d455-4a7e-a548-4a3afe87d6c9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42278b118dcdb526addab4b868fd98a5f9453e2a2bd2e58e19c26784fd7278d3
- Size of remote file:
- 50.4 MB
- SHA256:
- 943b6538f025ba8c69087f2d935933c75d1c7911749263d098aba8f91249a18a
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