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:
- b2ecda4b57ea096600aedded4295c0aa2a8c7272003a33fb714497afa80a6b1c
- Size of remote file:
- 5.69 kB
- SHA256:
- fdbd07621495d238cddbd08ad9035005525dc0d2212bdda59b508cdece96c776
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