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 pytorch_model.bin from Ayham/albert_gpt2_summarization_cnndm: direct link, hf CLI and curl.
- Browser
- Download file 683 MB
-
https://huggingface.co/Ayham/albert_gpt2_summarization_cnndm/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Ayham/albert_gpt2_summarization_cnndm/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Ayham/albert_gpt2_summarization_cnndm/resolve/main/pytorch_model.bin
683 MB
- Xet hash:
- 6b322dc215fe80aa0a3362b03166286c62474bfbc841cf484a570c1489468193
- Size of remote file:
- 683 MB
- SHA256:
- a4f1ec2720737be20d143dc17f58aaae9893c46dfbc3f7356f601c9e438808c3
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