Instructions to use eeeebbb2/ed54852c-5ead-4e2d-8aea-30994891c5ad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/ed54852c-5ead-4e2d-8aea-30994891c5ad with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-360M") model = PeftModel.from_pretrained(base_model, "eeeebbb2/ed54852c-5ead-4e2d-8aea-30994891c5ad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58d26d91ef0f56e923622eeda6ee05d949ee890eb9a58fe0cf86d2a0d395ee05
- Size of remote file:
- 15 kB
- SHA256:
- 25117e89b1035e7b8bf425d162f67c6535d863f5428d1fde8ddce13d9ee1cbca
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