Instructions to use kelvinyelyen/tiny-aya-global-hedge-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kelvinyelyen/tiny-aya-global-hedge-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("CohereLabs/tiny-aya-global") model = PeftModel.from_pretrained(base_model, "kelvinyelyen/tiny-aya-global-hedge-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b9087b47ccb327dedc1b28276bce2d2f5a9de468d7b6f5dc5ca35db8cdf71de
- Size of remote file:
- 21.4 MB
- SHA256:
- 84d150b8af762b3662bdadc1fbc8274bc535ef86c0d497d0a40469fe86d92368
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