Instructions to use Ayham/bert_gpt2_summarization_cnndm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/bert_gpt2_summarization_cnndm with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/bert_gpt2_summarization_cnndm") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/bert_gpt2_summarization_cnndm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
flax_model.msgpack
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:2da0d47987f1ad37febaaa06c3bec9134c1b1d3a6ebf134af5f946ce8aeaf630
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size 433370483
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