Instructions to use Alphatao/test_read with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Alphatao/test_read with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-0.5B") model = PeftModel.from_pretrained(base_model, "Alphatao/test_read") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8b3fdeba67b7855855eb6ebc608bfe86b2c312734dc71f4e1586e18a4f6a7fa
- Size of remote file:
- 6.71 kB
- SHA256:
- 10464d3b32c837d0e42fb102f421b030ca9a39cac3f806e2374aa9fbc9dbfbf4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.