Instructions to use Ayham/albert_gpt2_summarization_xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/albert_gpt2_summarization_xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/albert_gpt2_summarization_xsum") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/albert_gpt2_summarization_xsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3a095f93610847395a8c1a515312e65ad634f699fed69eff167457f6c35c235
- Size of remote file:
- 683 MB
- SHA256:
- 11f4013ced8259c0c025e96cb9680d977ed3bab1ca2528db6d3884591a927f4e
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