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")# 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
- Xet hash:
- 7916d708edcc5a8b4320ff32c223da23df0d3da8999d8cddb4fa195b2834662e
- Size of remote file:
- 558 MB
- SHA256:
- fc56231bebc1fa3cab7d9cecaf23f6b62927fe697bac3d6c748f238fb7750fa0
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