Instructions to use Ayham/albert_gpt2_Full_summarization_cnndm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/albert_gpt2_Full_summarization_cnndm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/albert_gpt2_Full_summarization_cnndm") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/albert_gpt2_Full_summarization_cnndm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0264c40df32719f949ffc2f11007e17f32fb231d76d0162b5f708640d8c256da
- Size of remote file:
- 2.99 kB
- SHA256:
- 7e88f8ccd7e56cc7a86ed9e93f0fba722a12f1f503b58eea628c8988ea8661a0
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