Instructions to use 1-lock/8a43a0a5-2f16-4121-84a0-f44658c0c151 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/8a43a0a5-2f16-4121-84a0-f44658c0c151 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, "1-lock/8a43a0a5-2f16-4121-84a0-f44658c0c151") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21a5d1b2f750a66c07f3a59542463457a58619959f84ee91d169872833f1b17e
- Size of remote file:
- 6.84 kB
- SHA256:
- 614bf087e04bf563056951a48c460a70705b2336c1c9c34455ffab9f649c196a
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