Instructions to use el-profesor/bert_small_seq2seq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use el-profesor/bert_small_seq2seq with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("el-profesor/bert_small_seq2seq") model = AutoModelForSeq2SeqLM.from_pretrained("el-profesor/bert_small_seq2seq") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e68a3d0a5499a33b0686d53fa8fbedfefca60cc556d3b50ce266f5a0ab692cd8
- Size of remote file:
- 492 MB
- SHA256:
- 3c751372e34db61646f2967d507aeec91b5046a13d42a991e58f15bd514018de
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