Instructions to use AIWizards/mdeberta-v3-base-subjectivity-sentiment-bulgarian 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-bulgarian 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-bulgarian")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AIWizards/mdeberta-v3-base-subjectivity-sentiment-bulgarian") model = AutoModel.from_pretrained("AIWizards/mdeberta-v3-base-subjectivity-sentiment-bulgarian") - Notebooks
- Google Colab
- Kaggle
Improve model card: Add pipeline tag, update license, expand content and add links
#1
by nielsr HF Staff - opened
This PR enhances the model card for mdeberta-v3-base-subjectivity-sentiment-bulgarian by:
- Adding the
pipeline_tag: text-classificationto correctly categorize the model's functionality and improve discoverability on the Hugging Face Hub. - Updating the
licensefrommittocc-by-4.0, aligning with the official project license. - Expanding the "Model description", "Intended uses & limitations", and "Training and evaluation data" sections with comprehensive details from the paper abstract and the GitHub repository.
- Adding a clear Python code snippet for using the model with the
transformerspipeline. - Including links to the GitHub repository and the Hugging Face Hub collection for the project, improving accessibility to related resources.
- Adding a BibTeX citation for proper attribution.
MatteoFasulo changed pull request status to merged