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", device_map="auto")# 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:
- 46dc34123d7d4c8d863620fd75a40abfebe109a69e0f07ca013f970e8c9a9eb3
- Size of remote file:
- 559 MB
- SHA256:
- ac4a80c7ef7bf4aed27b90ca1cd39b0235a719e2ed632d180a2dcd6edff5eb94
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