Instructions to use EdBerg/Baha_9MB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/Baha_9MB with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "EdBerg/Baha_9MB") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec7ed86a4fc9990e9f4432c8ba74af74c7a6917d0ef2ba89980b171a89403786
- Size of remote file:
- 5.5 kB
- SHA256:
- bfd95271ef8f5b59578c2feb80b516b59d147ff50a16d758f5487810aef160da
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.