Summarization
Transformers
TensorBoard
Safetensors
encoder-decoder
text2text-generation
Generated from Trainer
Instructions to use folflo/Bert2Bert_m_m_finetined_on_HunSum_1201 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use folflo/Bert2Bert_m_m_finetined_on_HunSum_1201 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="folflo/Bert2Bert_m_m_finetined_on_HunSum_1201")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("folflo/Bert2Bert_m_m_finetined_on_HunSum_1201") model = AutoModelForSeq2SeqLM.from_pretrained("folflo/Bert2Bert_m_m_finetined_on_HunSum_1201", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
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