Instructions to use vmpsergio/f3e6c8e0-4f8c-4f37-9fb9-199f1a99090c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vmpsergio/f3e6c8e0-4f8c-4f37-9fb9-199f1a99090c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "vmpsergio/f3e6c8e0-4f8c-4f37-9fb9-199f1a99090c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- def0ae8c86c4ddd548d3dd42453fecdf21b7548fb604576946dac82ad5c1843f
- Size of remote file:
- 6.78 kB
- SHA256:
- d5b9e85b129147bc01ce61878afeb03f8763451af0dd18032f7e4fd372cbb303
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.