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:
- b8d42d56c02299d81ebe8d3b5d83c0c384ecaaee472a747905908e2f5fa0cc38
- Size of remote file:
- 15 kB
- SHA256:
- cc461f5b764db0fb9b71c74bf5c7a0ffa2d360501e9b34de0ee66319217f2365
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.