Instructions to use EZUNIGAF/DocuBotv0.1-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EZUNIGAF/DocuBotv0.1-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("clibrain/Llama-2-13b-ft-instruct-es") model = PeftModel.from_pretrained(base_model, "EZUNIGAF/DocuBotv0.1-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2885aa3aa4a384d26616c8e65f7e2101d978444b0abb64f0521cd57388cc5d36
- Size of remote file:
- 2 GB
- SHA256:
- 0c8123aa4c0cd9f769e03bf0ae66619b4cc19adfae149d626f6d9a9a4fea954a
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