Instructions to use Ayham/albert_distilgpt2_summarization_cnn_dailymail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/albert_distilgpt2_summarization_cnn_dailymail with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/albert_distilgpt2_summarization_cnn_dailymail") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/albert_distilgpt2_summarization_cnn_dailymail", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ayham/albert_distilgpt2_summarization_cnn_dailymail: direct link, hf CLI and curl.
- Browser
- Download file 3.25 kB
-
https://huggingface.co/Ayham/albert_distilgpt2_summarization_cnn_dailymail/resolve/main/training_args.bin
- Command line
-
hf download hf://Ayham/albert_distilgpt2_summarization_cnn_dailymail/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ayham/albert_distilgpt2_summarization_cnn_dailymail/resolve/main/training_args.bin
3.25 kB
- Xet hash:
- 809ddd526fcf8cdc073fbf483e485b352b8a3ba2590bfe7af706a1798504b23a
- Size of remote file:
- 3.25 kB
- SHA256:
- 65b0b45d05afbaab9d8c5834a0e34ae31f5b920a0692ce0fe2ef3f7d49f7966a
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