Instructions to use Ayham/xlnet_bert_summarization_cnn_dailymail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/xlnet_bert_summarization_cnn_dailymail with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/xlnet_bert_summarization_cnn_dailymail") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/xlnet_bert_summarization_cnn_dailymail") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89e94d395467c84d10dc9b99b8159258d05e4c3f3fd5a942207537c25165f156
- Size of remote file:
- 1.02 GB
- SHA256:
- 0819d0318e8096eb50b15f24747ee73e943ce5363ebd47abcc44e4cffab7240d
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