Instructions to use Ayham/robertagpt2_xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/robertagpt2_xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/robertagpt2_xsum") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/robertagpt2_xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4498fc675f8ddf85a160f81345f7107b395c0443c89439e27c2da99b026dce68
- Size of remote file:
- 1.14 GB
- SHA256:
- 69eec9b7db1a4777ed4da04642671248f67b9531a1a36db5c5c776112f23480f
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