Instructions to use Nima-nlc/aya2-Lora_4K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Nima-nlc/aya2-Lora_4K with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("CohereForAI/aya-101") model = PeftModel.from_pretrained(base_model, "Nima-nlc/aya2-Lora_4K") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc710d36be562f35c6c31bdeda7a90ca115cf37cf09523d363d785bbf63b4979
- Size of remote file:
- 5.05 kB
- SHA256:
- 7a1adb7be98183d7329b270de9ea6302bdb241d85dca2c6fbd77074742d715b1
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