Instructions to use Ayham/distilbert_gpt2_summarization_cnndm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/distilbert_gpt2_summarization_cnndm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/distilbert_gpt2_summarization_cnndm") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/distilbert_gpt2_summarization_cnndm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 108879a2b7536de8971f0bf85ca117cdc674eb6245510984d8a46a7f2a6b9e5b
- Size of remote file:
- 2.99 kB
- SHA256:
- 5e20677647b12a163311f68e534eade5f229fa3379628e67e3c2916870d7283e
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