Instructions to use Ayham/xlnet_bert_summarization_cnn_dailymail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/xlnet_bert_summarization_cnn_dailymail with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/xlnet_bert_summarization_cnn_dailymail") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/xlnet_bert_summarization_cnn_dailymail", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ayham/xlnet_bert_summarization_cnn_dailymail: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/Ayham/xlnet_bert_summarization_cnn_dailymail/resolve/main/training_args.bin
- Command line
-
hf download hf://Ayham/xlnet_bert_summarization_cnn_dailymail/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Ayham/xlnet_bert_summarization_cnn_dailymail/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- 2f942829335df73a4bab60ea70ca4a082fec1ea361d64928280a25032f2fc59f
- Size of remote file:
- 2.99 kB
- SHA256:
- 4c97447dc755f481c18c3243fe85cfef185090bf04af7e011e754b32152d5120
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