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:
- 081b1f954f5ad7e9e31d0f5a083c63fda4ed083ec3df2cd545a7cbb96c884b5c
- Size of remote file:
- 990 MB
- SHA256:
- 840a542311405c9c83df38279c73fa2b53fa67181adbb6c27b82e32583f9d64d
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