Text Classification
Transformers
Safetensors
Italian
deberta-v2
Generated from Trainer
subjectivity-detection
sentiment-analysis
Instructions to use AIWizards/mdeberta-v3-base-subjectivity-sentiment-italian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIWizards/mdeberta-v3-base-subjectivity-sentiment-italian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIWizards/mdeberta-v3-base-subjectivity-sentiment-italian")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AIWizards/mdeberta-v3-base-subjectivity-sentiment-italian") model = AutoModel.from_pretrained("AIWizards/mdeberta-v3-base-subjectivity-sentiment-italian") - Notebooks
- Google Colab
- Kaggle
Improve model card: Add pipeline tag, update license, GitHub link, and usage example
#1
by nielsr HF Staff - opened
This PR significantly improves the model card for mdeberta-v3-base-subjectivity-sentiment-italian by:
- Adding
pipeline_tag: text-classificationto ensure the model is easily discoverable for its intended task. - Updating the
licensetocc-by-4.0, correcting the previousmitlicense as specified in the associated GitHub repository. - Including a direct link to the GitHub repository (
https://github.com/MatteoFasulo/clef2025-checkthat) for easy access to the source code and project materials. - Providing a
transformerspipeline usage example in a new "How to use" section, simplifying model inference for users. - Adding more specific
tags:deberta-v2,subjectivity-detection, andsentiment-analysisfor more accurate categorization. - Populating the "Model description" and "Intended uses & limitations" sections with information extracted from the paper abstract and the project's GitHub README.
- Correcting the formatting of the arXiv paper link in the model card content to ensure it is clickable.
These enhancements contribute to a more comprehensive, accurate, and user-friendly model card on the Hugging Face Hub.
MatteoFasulo changed pull request status to merged