Instructions to use Ayham/albert_gpt2_Full_summarization_cnndm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/albert_gpt2_Full_summarization_cnndm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/albert_gpt2_Full_summarization_cnndm") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/albert_gpt2_Full_summarization_cnndm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c7e36c5d1b3ee4dab374eaf2cdaa98d8eef247b9a2c46992a1c8f21e1dc34bc
- Size of remote file:
- 683 MB
- SHA256:
- 0bc24726b948b251f14c71bdb97664b114e22e751bed21cf7a316b4b22a0694f
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