Instructions to use eeeebbb2/deb37e24-426f-456c-983c-c76333dbcba7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/deb37e24-426f-456c-983c-c76333dbcba7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("trl-internal-testing/tiny-random-LlamaForCausalLM") model = PeftModel.from_pretrained(base_model, "eeeebbb2/deb37e24-426f-456c-983c-c76333dbcba7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2da0f8106071104017a6b4240dfe15975d8cdad8539e0353407953f8a054091
- Size of remote file:
- 97.7 kB
- SHA256:
- 6ded964d506af357191dde70870d284c48f896dea591f21ee8958207817f1d24
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