Instructions to use kk-aivio/f12ccded-ed38-4fa6-84a8-1fb25d5b321b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/f12ccded-ed38-4fa6-84a8-1fb25d5b321b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("trl-internal-testing/tiny-random-LlamaForCausalLM") model = PeftModel.from_pretrained(base_model, "kk-aivio/f12ccded-ed38-4fa6-84a8-1fb25d5b321b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cc485bf21ba390dd4b54a64784cc5152dd40c19fc8143732e5d96867ba5a94f
- Size of remote file:
- 97.7 kB
- SHA256:
- a0e875b0557cf1075f81b8525a335ff3ac90ee756770e0057540341d5117c28b
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