Instructions to use Ayham/bert_gpt2_summarization_cnndm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/bert_gpt2_summarization_cnndm with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/bert_gpt2_summarization_cnndm") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/bert_gpt2_summarization_cnndm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Ayham/bert_gpt2_summarization_cnndm: direct link, hf CLI and curl.
- Browser
- Download file 1.07 GB
-
https://huggingface.co/Ayham/bert_gpt2_summarization_cnndm/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Ayham/bert_gpt2_summarization_cnndm/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Ayham/bert_gpt2_summarization_cnndm/resolve/main/pytorch_model.bin
1.07 GB
- Xet hash:
- 9398c91d82f059a91f595269e054d63fb8ac81a1651297441d0f7e545f6f4b2d
- Size of remote file:
- 1.07 GB
- SHA256:
- 9c4ad2268e4ce723b42b9dad02e573d9e39b0992d4adb178095db5954af56bda
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