Instructions to use prxy5608/d438699a-0dd6-4b02-8f3f-237b7cfea0e0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/d438699a-0dd6-4b02-8f3f-237b7cfea0e0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-360M") model = PeftModel.from_pretrained(base_model, "prxy5608/d438699a-0dd6-4b02-8f3f-237b7cfea0e0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55be575da7e07e85f1caccf121e9040fb5904cbdd109ddb2ce0bcf215978ccd2
- Size of remote file:
- 139 MB
- SHA256:
- f946888c0dab4d8d97db807bbbc2830ab4fea1903d214fee15db3070186a1858
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