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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d0600782de2a4c1cefcf92546ea1d793272c0188212a5d8718844462bd38eeb
- Size of remote file:
- 3.06 kB
- SHA256:
- 7d8a59ee5f29a6f81f02e6faca61114a6cd118f6009183e5c9f1bcbce0f692ba
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