Instructions to use Ayham/robertagpt2_xsum4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/robertagpt2_xsum4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/robertagpt2_xsum4") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/robertagpt2_xsum4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4174bef2109d0fd980bd79a50c42cd0438e8fd6ca1fd7c5bcb62b3e7b6d98d28
- Size of remote file:
- 1.14 GB
- SHA256:
- 9d620add14997d090ba8fb1a4788c1a9b192f70ee01c4f24003495b5fc23a8d0
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