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
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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.
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