Instructions to use Ayham/distilbert_bert_summarization_cnn_dailymail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/distilbert_bert_summarization_cnn_dailymail with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/distilbert_bert_summarization_cnn_dailymail") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/distilbert_bert_summarization_cnn_dailymail") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 811f76835f2c0a6603a0c5eea696d50c990de87b8ccc5f25b0ba7ff77a1d2415
- Size of remote file:
- 812 MB
- SHA256:
- b4d16e2a56e15f9cd41950a2a690f31dcca835efc8c11a0e2752bb24e3f86909
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