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
File size: 430 Bytes
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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. |