Instructions to use Cansuuy/keyword_extraction_with_sequence_labeling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cansuuy/keyword_extraction_with_sequence_labeling with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Cansuuy/keyword_extraction_with_sequence_labeling")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Cansuuy/keyword_extraction_with_sequence_labeling") model = AutoModelForTokenClassification.from_pretrained("Cansuuy/keyword_extraction_with_sequence_labeling") - Notebooks
- Google Colab
- Kaggle
| language: tr | |
| license: apache-2.0 | |
| library_name: transformers | |
| pipeline_tag: token-classification | |
| tags: | |
| - keyword-extraction | |
| - nlp | |
| - turkish | |
| widget: | |
| - text: "Uzay sistemlerinde Latching Current Limiter (LCL) kullanımı çok kritiktirr." | |
| # Keyword Extraction with Sequence Labeling | |
| Bu model, Türkçe metinlerden anahtar kelime çıkarımı yapmak için eğitilmiştir. | |
| TUSAŞ LIFTUP projesi kapsamında geliştirilmiştir. |