Instructions to use chauhoang/6dc5c693-bd8b-469b-8884-71b4941f4e88 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/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, "chauhoang/6dc5c693-bd8b-469b-8884-71b4941f4e88") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7ca8dcc49c4b3ffc74e9401b07805faa68cb364c990a7f9767ef1b7f63087b3
- Size of remote file:
- 6.78 kB
- SHA256:
- 7faa01bf5e42a704fbe0f14b14a5126256b3525a31b9d29d45527114a8dedcf3
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