Instructions to use Ayham/ernie_bert_summarization_cnn_dailymail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/ernie_bert_summarization_cnn_dailymail with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/ernie_bert_summarization_cnn_dailymail") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/ernie_bert_summarization_cnn_dailymail", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a8c5bc8da23244c482ff666a49b7e9db7e66d8e4ba29842eaa4dfad32e36c26
- Size of remote file:
- 2.99 kB
- SHA256:
- 80882f6a633bcbd33c4a8a1212edf48e401a534828e1e0aeac490b88e54b46df
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