Instructions to use ralcanta/do_nothing_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ralcanta/do_nothing_bert with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ralcanta/do_nothing_bert") model = AutoModelForSeq2SeqLM.from_pretrained("ralcanta/do_nothing_bert") - Notebooks
- Google Colab
- Kaggle
added model info
Browse files- config.json +1 -1
- pytorch_model.bin +3 -0
config.json
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},
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"is_encoder_decoder": true,
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"model_type": "encoder-decoder"
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}
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},
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"is_encoder_decoder": true,
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"model_type": "encoder-decoder"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5c38fea5cf22861452ff8189c621d2a26a46e88d7f6d454968fc3f838a7718af
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size 984944778
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