Instructions to use aleegis12/e44ab6e4-8c71-45b8-a00b-5b8a30673a0c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/e44ab6e4-8c71-45b8-a00b-5b8a30673a0c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-1.3b") model = PeftModel.from_pretrained(base_model, "aleegis12/e44ab6e4-8c71-45b8-a00b-5b8a30673a0c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b088afb0acf764107543e6160dbda389dac5f5b3d0b675451132f30a247553c
- Size of remote file:
- 6.84 kB
- SHA256:
- 5731a6604f7f9e93ae2ac24bf9a6f7d1e17ad31345dd5a7551dbef70b8a5848d
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