Instructions to use dmariko/smolLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dmariko/smolLM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceTB/SmolLM-360M-Instruct") model = PeftModel.from_pretrained(base_model, "dmariko/smolLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3553ea2471910028fa0ec01d37d34cf6b3f567cb27c300a9dc27882a07945e40
- Size of remote file:
- 5.24 kB
- SHA256:
- 3c32b70cee7bf7d12100258a03ad31e8b4c5d465fff43ba84de0d43a727954a4
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