Instructions to use LLMMINE/MTIPA-7B-PositionTask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LLMMINE/MTIPA-7B-PositionTask 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/MTIPA-7B-PositionTask") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd1e2ad406dff2a2700105fed65c8e8c12639358eebf4fc0a17d6895f0b4ed88
- Size of remote file:
- 1.06 kB
- SHA256:
- e500ef313a8ed50e9b80757f4ddafd4eb8fe95e797af5388de21a0f383a51801
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.