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:
- 75f2d062203ce1d1f1d098e3bc15d0c370dc627bc819f42ead0eea01883bf297
- Size of remote file:
- 104 kB
- SHA256:
- 5747dc11786c8ec8db7b6d5174042ee1bc83fa61b011b9996029507d5e9a7a75
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