Instructions to use havinash-ai/3cbee2fe-6e5f-43d7-93eb-21377bdf07ce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/3cbee2fe-6e5f-43d7-93eb-21377bdf07ce 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, "havinash-ai/3cbee2fe-6e5f-43d7-93eb-21377bdf07ce") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae475226b34bac03e1fcb0cd695a17380031ffcd146e3481a3c9d8d7a8800ae9
- Size of remote file:
- 21.5 MB
- SHA256:
- 305a2717b7ff300320e339ef3f219c127cc5a8bc8a4c290354588b1d0eb5d0e9
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