Instructions to use vdos/feeb0624-72db-4c4a-971e-321281e09cf9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdos/feeb0624-72db-4c4a-971e-321281e09cf9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "vdos/feeb0624-72db-4c4a-971e-321281e09cf9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74313d554232205d01c5bc4561582691d11ae746155e3813c05b0302d8a164aa
- Size of remote file:
- 336 MB
- SHA256:
- 0f71e9bf99086329fc49b726ef1541d48206486cefd93d866f90ae297c12b437
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.