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:
- 5db17e5df4300cf12b99f79cfb95443eb462c09da40fd0989c8ef18a0a97c064
- Size of remote file:
- 2.93 kB
- SHA256:
- c3727a63b59b55d00d695d82717d74bff1e2932a2d6fc1b55df12d63fac34e07
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