Instructions to use renhehuang/bert-traditional-chinese-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use renhehuang/bert-traditional-chinese-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="renhehuang/bert-traditional-chinese-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("renhehuang/bert-traditional-chinese-classifier") model = AutoModelForMaskedLM.from_pretrained("renhehuang/bert-traditional-chinese-classifier") - Notebooks
- Google Colab
- Kaggle
License Incompatibility
Hi, Iβd like to report a potential license conflict in renhehuangbert-traditional-chinese-classifier. From what I can tell, this model appears to be an quantize version ofckiplab/bert-base-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!