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:
- 001759a1b2ac138e2ed84da216e5291965781a4805a0bf0dff1b3e1b33f7373e
- Size of remote file:
- 39.4 MB
- SHA256:
- 5ae8a46d58c63f88a1bc72322a26cb93b75081168f9d6b045f4346803f9f5ef9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.