Instructions to use mrm8488/bert2bert_shared-turkish-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/bert2bert_shared-turkish-summarization with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="mrm8488/bert2bert_shared-turkish-summarization")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/bert2bert_shared-turkish-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/bert2bert_shared-turkish-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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tags:
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- summarization
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- mlsum
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# Turkish BERT2BERT fine-tuned on MLSUM
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tags:
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- summarization
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language: tr
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# Turkish BERT2BERT fine-tuned on MLSUM TR for summarization
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