Instructions to use M-AHARRAM/andrew_tate.200rows with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use M-AHARRAM/andrew_tate.200rows with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16") model = PeftModel.from_pretrained(base_model, "M-AHARRAM/andrew_tate.200rows") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77f256e5335662bddc8dae50b17eb89d8dde29a148f960ad1490a56f4a1941bc
- Size of remote file:
- 522 MB
- SHA256:
- 0bb762c02aca5a658856562b123ce6fbfd0ecd592c545de52d22e337de96534b
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