Instructions to use folflo/Bert2Bert_m_finetined_on_HunSum_1125 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use folflo/Bert2Bert_m_finetined_on_HunSum_1125 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("folflo/Bert2Bert_m_finetined_on_HunSum_1125") model = AutoModelForSeq2SeqLM.from_pretrained("folflo/Bert2Bert_m_finetined_on_HunSum_1125", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbb87c85b41cb8a26bde3e1c74a50cee86fe04b8952d2bcecafb623157bcb267
- Size of remote file:
- 6.26 kB
- SHA256:
- f5df5e67c0c3c7c03463912458ec9e50f375968471271e3bcf67fd9a72e1cb2d
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