Instructions to use aleegis/98a0f151-4347-4153-abc8-37a1e651e24c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis/98a0f151-4347-4153-abc8-37a1e651e24c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Math-1.5B") model = PeftModel.from_pretrained(base_model, "aleegis/98a0f151-4347-4153-abc8-37a1e651e24c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 074c2aec3741cb367f037d8b97634b7a356f0b464a2bc3a8f40825fa557f1f28
- Size of remote file:
- 73.9 MB
- SHA256:
- 2f69215fa71abb8fa8004f1511df840de48cbb3e3e17f08478b4f4af80fb8b9e
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