Instructions to use aoxo/kevin-token-compressor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aoxo/kevin-token-compressor with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-8B-bnb-4bit") model = PeftModel.from_pretrained(base_model, "aoxo/kevin-token-compressor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bc88bed51ff230affa6d81bdaa799c62175b9d191de9381e6804aff4034463a
- Size of remote file:
- 6.98 MB
- SHA256:
- 4383fb7021d1377b046e5fd5a399a854690b1b24691cacc7cb313671fad3cbba
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.