Instructions to use verbalyze/Adaptor_Conv_Text2Text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use verbalyze/Adaptor_Conv_Text2Text with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "verbalyze/Adaptor_Conv_Text2Text") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0de26c710a031f84880a391e1cf5548fa4c7f9162f2efbd4bfb53ef1cae1f616
- Size of remote file:
- 2.78 GB
- SHA256:
- 4885e4052bdce6031f1b9543bf1b15f44fe39a89a8ef305d3ddab8ad4ef7a450
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