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:
- 18d3f0e1f760c11f42c7002942af9244859a02207df108cbdf5724bd687920c4
- Size of remote file:
- 1.06 kB
- SHA256:
- 28dc2c465d41541942c576d9d1dfcff1c084b28acb775bfa4599ca34ea770bc8
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