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 pytorch_model.bin from Ayham/bert_distilgpt2_summarization_cnn_dailymail: direct link, hf CLI and curl.
- Browser
- Download file 830 MB
-
https://huggingface.co/Ayham/bert_distilgpt2_summarization_cnn_dailymail/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Ayham/bert_distilgpt2_summarization_cnn_dailymail/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Ayham/bert_distilgpt2_summarization_cnn_dailymail/resolve/main/pytorch_model.bin
830 MB
- Xet hash:
- 1b7ec7b2da05117cd799d612e750622ab3e7f00ff807146ecb3afbc5dfdf449f
- Size of remote file:
- 830 MB
- SHA256:
- 65ce2f3a35651a7dbec07c159273a3cc7dcd5ae22c5ccc50e6c87af50e57431e
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