Instructions to use yrvelez/flamingo_adapter_33b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yrvelez/flamingo_adapter_33b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("huggyllama/llama-30b") model = PeftModel.from_pretrained(base_model, "yrvelez/flamingo_adapter_33b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f93f09f4023d7446de62da6ad886b4598ebf6637deb225a5278d48e362c6305
- Size of remote file:
- 7.31 GB
- SHA256:
- ff365883a213d3eadc45df7383d831eb2d2273bfd9f4e5eb8e05c8aedf808b08
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