Instructions to use aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f2da48149344b7869b342672490da5caa2e7778e13c67534b3e958702208f7d
- Size of remote file:
- 78.3 MB
- SHA256:
- 2e8780ce10e36ac5e17cbde7b7a1f1a7d66ac6a357245b0b0e0510f5c2aeb2cd
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