Instructions to use javid48/finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use javid48/finetuning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("stabilityai/stablelm-3b-4e1t") model = PeftModel.from_pretrained(base_model, "javid48/finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1afdae8906efafba220d39e3fb0b424d39a80542139a0f630bea8a3e742f4598
- Size of remote file:
- 4.66 kB
- SHA256:
- f3764640120e817bb2a1e6c36ee73c945662b7d75b5a02e65948004ccecb8f95
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.