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:
- d9b49ac79c63916b6c9325d3872c78efd6dafb4d5f3b3cc4ac3beb476c753583
- Size of remote file:
- 975 MB
- SHA256:
- 83037aa7ef6caf425d18c7e673b08aa7336c7b616d084cc1d3d52f8bb467e0d3
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