Instructions to use Ayham/bert_distilgpt2_summarization_cnn_dailymail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/bert_distilgpt2_summarization_cnn_dailymail with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/bert_distilgpt2_summarization_cnn_dailymail") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/bert_distilgpt2_summarization_cnn_dailymail", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ayham/bert_distilgpt2_summarization_cnn_dailymail: direct link, hf CLI and curl.
- Browser
- Download file 3.25 kB
-
https://huggingface.co/Ayham/bert_distilgpt2_summarization_cnn_dailymail/resolve/main/training_args.bin
- Command line
-
hf download hf://Ayham/bert_distilgpt2_summarization_cnn_dailymail/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ayham/bert_distilgpt2_summarization_cnn_dailymail/resolve/main/training_args.bin
3.25 kB
- Xet hash:
- 088fc482f8140d22c7516807b097690d279d449006cf169c9bf05a4ec85f3532
- Size of remote file:
- 3.25 kB
- SHA256:
- 55d827c84d073e236e0912f996bfb006187361a987e6c26e4a7fe4af4925c7fa
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