Instructions to use Ayham/bert_gpt2_summarization_cnndm_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/bert_gpt2_summarization_cnndm_new with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/bert_gpt2_summarization_cnndm_new") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/bert_gpt2_summarization_cnndm_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Ayham/bert_gpt2_summarization_cnndm_new: direct link, hf CLI and curl.
- Browser
- Download file 1.07 GB
-
https://huggingface.co/Ayham/bert_gpt2_summarization_cnndm_new/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Ayham/bert_gpt2_summarization_cnndm_new/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Ayham/bert_gpt2_summarization_cnndm_new/resolve/main/pytorch_model.bin
1.07 GB
- Xet hash:
- 7f4d527cf8967e7241dae213604e1e7c8b8ae22f19fc8b023306284f4eca89c9
- Size of remote file:
- 1.07 GB
- SHA256:
- 2c5641589491fec48be127c778f994f8dbe0d0efcb2f9d232f418fd3d1e7c043
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