Instructions to use dimasik87/1bc7b11d-8ab3-44f1-bd3f-c2b84e0d0cb0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/1bc7b11d-8ab3-44f1-bd3f-c2b84e0d0cb0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0") model = PeftModel.from_pretrained(base_model, "dimasik87/1bc7b11d-8ab3-44f1-bd3f-c2b84e0d0cb0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9cd058ab0554313daa42a851ed8b75842aa2373bf7324da70687244fe32d7d14
- Size of remote file:
- 768 kB
- SHA256:
- cd90ab2ce891868e6fc198c23bcbdce0d8c6ffc7a32620a107291538df25eaf2
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