Instructions to use TinyPixel/adapter-l2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TinyPixel/adapter-l2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Deci/DeciLM-7B") model = PeftModel.from_pretrained(base_model, "TinyPixel/adapter-l2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4dd6ecda6f91e90792cccd8a33e464a794fc2b8d545516f8f0f3cf63d3bae572
- Size of remote file:
- 227 MB
- SHA256:
- 038f0623a94a67b1bdf61255b27595d3d040d805a016bd3bee1e75c7c9a96e62
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