Instructions to use dice-research/lola_instructions_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dice-research/lola_instructions_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("dice-research/lola_v1") model = PeftModel.from_pretrained(base_model, "dice-research/lola_instructions_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd36c3a548f71b2ecac01ceafcabe59f7ab4b2e14417bc1479e57912e3938a87
- Size of remote file:
- 5.43 kB
- SHA256:
- 4c2040a9aaa9e0ad3300d2597478848cd3b8c370d5275dc7d52497005572d821
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