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:
- 64d4b390295c9f9f9584e847ce8d35705a9e8bee7273fa46db6d4b8389f83592
- Size of remote file:
- 5.54 GB
- SHA256:
- 115e0620ffaef3373bb1a410ddb4c8a73a92e0456d3a53cc3118b06e76f62160
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