Instructions to use aleegis10/8123eb65-93c2-4058-b1db-99432f2d21d8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/8123eb65-93c2-4058-b1db-99432f2d21d8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "aleegis10/8123eb65-93c2-4058-b1db-99432f2d21d8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa21f83f613f92ecebe355e2e04e0e4666d2ae836dd6d8768d456948fe2ae214
- Size of remote file:
- 1.06 kB
- SHA256:
- d2d754412c61116546142914503e7369d0cc35d3c380a07e5218f595d76b6d96
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