Instructions to use folflo/Bert2Bert_finetined_on_HunSum_1202 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use folflo/Bert2Bert_finetined_on_HunSum_1202 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("folflo/Bert2Bert_finetined_on_HunSum_1202") model = AutoModelForSeq2SeqLM.from_pretrained("folflo/Bert2Bert_finetined_on_HunSum_1202", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- babeeb98c34cced8aed72588c788460cf29329b3d3548cdb5d97fee7f9f4f935
- Size of remote file:
- 6.26 kB
- SHA256:
- 2425bf3c936057e95db743f7bc719b66c2b3b9ec8c44bf702cf3ad41ef90aa13
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