Instructions to use lil-lab/CoLMLM-Question-Generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lil-lab/CoLMLM-Question-Generator with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "lil-lab/CoLMLM-Question-Generator") - Notebooks
- Google Colab
- Kaggle
| CoLMLM-Question-Generator | |
| Copyright (c) 2026 Cornell University | |
| The adapter weights in this repository are released under the MIT License | |
| (see LICENSE). | |
| This work is derived from and intended for use with: | |
| Qwen2.5-1.5B-Instruct | |
| https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct | |
| Copyright 2024 Alibaba Cloud. | |
| Licensed under the Apache License, Version 2.0 (see LICENSE.apache-2.0). | |
| Changes made to the original work: LoRA adapters were trained on all linear | |
| projections, embeddings for eight added annotation tokens were trained, and | |
| the accompanying tokenizer files were extended with those tokens. The base | |
| model weights themselves are not redistributed here. | |
| Unless required by applicable law or agreed to in writing, software | |
| distributed under the Apache License is distributed on an "AS IS" BASIS, | |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| See the License for the specific language governing permissions and | |
| limitations under the License. | |