Instructions to use ckiplab/albert-tiny-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ckiplab/albert-tiny-chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ckiplab/albert-tiny-chinese")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ckiplab/albert-tiny-chinese") model = AutoModelForMaskedLM.from_pretrained("ckiplab/albert-tiny-chinese") - Notebooks
- Google Colab
- Kaggle
License Incompatibility
Hi, Iβd like to report a potential license conflict in Luigialbert-tiny-chinese-dinercall-intent. From what I can tell, this model appears to be an quantize version ofckiplab/albert-tiny-chinese, which is licensed under the GPL 3.0 . However, the model is currently published under the apache 2.0 License, which might not be compatible due to commercial restrictions from the GPL 3.0 license.
β οΈ Key Violations of the GPL 3.0 License:
Provide a copy of the GPL 3.0 license.
Modified versions must be distributed under the GPL 3.0 license
The GPL 3.0 license include a link to the Licensed Material
πΉ Suggestions for Resolving
To align with the GPL 3.0 license:
Replace the apache2.0 license reference with GPL 3.0 License
Hope this helps clarify the situation! Let me know if you have any questions or need help updating the license terms β happy to assist π Let me know if I misunderstood anything β happy to help clarify further!
Thanks for your attention!