Instructions to use yixuantt/DREAM-0.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yixuantt/DREAM-0.5B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B") model = PeftModel.from_pretrained(base_model, "yixuantt/DREAM-0.5B") - Notebooks
- Google Colab
- Kaggle
Link model to paper, code, and specify license
#1
by nielsr HF Staff - opened
This PR improves the model card for DREAM-0.5B by adding:
- The
license: apache-2.0metadata. - A link to the corresponding paper: DREAM: Dense Retrieval Embeddings via Autoregressive Modeling.
- A link to the official GitHub repository: yixuantt/DREAM.
yixuantt changed pull request status to merged