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:
- 4023cad7dbaed9b05434dedf002783d403c86a198657d2e1ae41da9f6640e62f
- Size of remote file:
- 2.99 kB
- SHA256:
- 0f9c2eb4334a1bb107f6994e34c6701743e085bf28ebfc8b5636737bba184a01
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