Instructions to use WebOrganizer/TopicClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WebOrganizer/TopicClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WebOrganizer/TopicClassifier", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("WebOrganizer/TopicClassifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
License clarification for TopicClassifier model weights (commercial use)
Hello WebOrganizer team,
We're evaluating WebOrganizer/TopicClassifier for a commercial website-analysis application.
We found Apache-2.0 licensing for the GitHub source code, but could not locate explicit licensing terms for the trained model weights (model.safetensors) on the Hugging Face model card.
Could you please clarify:
Whether the published model weights may be used for commercial hosted inference.
Whether using the model's predictions in a commercial SaaS product is permitted.
Whether fine-tuning or redistributing the weights requires separate permission.
What license, attribution requirements, or other restrictions apply.
If possible, adding an explicit model-weight license to the Hugging Face model card would be especially helpful.
Thank you for your work and clarification!