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:
- ada61bf67e1181bbe23c36ae6ad253a105759c6b008a922e6b7d0be1f223515e
- Size of remote file:
- 6.26 kB
- SHA256:
- ad3c6a4606144c85c393ca34fbd1e4cbcb52afa53a217aefac8d0401b9abff0a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.