Instructions to use a7mid/ArbicSummarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use a7mid/ArbicSummarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("a7mid/ArbicSummarization") model = AutoModelForSeq2SeqLM.from_pretrained("a7mid/ArbicSummarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54a5f693bba6a0ac7f42827b7d34efd169bdf412a0ea2a2b4a7bb17a82dc4ebc
- Size of remote file:
- 557 MB
- SHA256:
- 2a0d8209e8070bb0651c9271682d4f7bc1e38f571d4518113ad33146adfae8dc
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