Instructions to use LLMMINE/TIPA-7B-TranditionalTask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LLMMINE/TIPA-7B-TranditionalTask with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "LLMMINE/TIPA-7B-TranditionalTask") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00912469bda078418f6f07f2fbbf4640d773ad77f17712c21b29677ff302ae45
- Size of remote file:
- 1.06 kB
- SHA256:
- f8160e44245e8f336c2b529d820c8da453bce5b8fa373bf201383a0d07b87f34
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.