Instructions to use Ayham/xlnet_gpt2_summarization_xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/xlnet_gpt2_summarization_xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/xlnet_gpt2_summarization_xsum") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/xlnet_gpt2_summarization_xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ayham/xlnet_gpt2_summarization_xsum: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/Ayham/xlnet_gpt2_summarization_xsum/resolve/main/training_args.bin
- Command line
-
hf download hf://Ayham/xlnet_gpt2_summarization_xsum/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ayham/xlnet_gpt2_summarization_xsum/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- d4c1e52e7ac3e4af77a966a9f7c9c1fa6fe97912473eb7dec1d08d740e067d18
- Size of remote file:
- 2.99 kB
- SHA256:
- 4bc38bada01c6e11cd10442838b04306f9e8fc1c0d15a9308857a2e47e606f48
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