Instructions to use Ayham/albert_bert_summarization_cnn_dailymail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/albert_bert_summarization_cnn_dailymail with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/albert_bert_summarization_cnn_dailymail") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/albert_bert_summarization_cnn_dailymail", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7440256317f981c22f2de3d314f963ba5b00785fb577adddfe4c21f3f9d3e96c
- Size of remote file:
- 598 MB
- SHA256:
- c0cdff6c2bef4f2880c124defd44b1fab3c0e2b3947d629dd12037b4fe9ded6c
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