Instructions to use Ayham/xlnet_gpt_xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/xlnet_gpt_xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/xlnet_gpt_xsum") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/xlnet_gpt_xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c04563b43b4e08729d593e0de06ac5900292bae26a9405cab857c424e45249e
- Size of remote file:
- 2.86 kB
- SHA256:
- 9620a8b89b069e1796b4d4d788ee28826672767dc385450254bbc2a6d1c49bc5
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