Instructions to use Ayham/albert_gpt2_summarization_cnndm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/albert_gpt2_summarization_cnndm with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/albert_gpt2_summarization_cnndm") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/albert_gpt2_summarization_cnndm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ayham/albert_gpt2_summarization_cnndm: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/Ayham/albert_gpt2_summarization_cnndm/resolve/main/training_args.bin
- Command line
-
hf download hf://Ayham/albert_gpt2_summarization_cnndm/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ayham/albert_gpt2_summarization_cnndm/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- 12c8ecb44eb6b6933f054074994b1cf433841c51cb558c67200aaeee370aa4f4
- Size of remote file:
- 2.99 kB
- SHA256:
- 77f6f1addef77bbf75ebe11b7feb4253dcbb3266801fd6b6244052ea56c27084
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