Instructions to use Amdalotaibi/AraBART-traffics-summarization-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amdalotaibi/AraBART-traffics-summarization-2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Amdalotaibi/AraBART-traffics-summarization-2") model = AutoModelForSeq2SeqLM.from_pretrained("Amdalotaibi/AraBART-traffics-summarization-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a4f7964db15f9807532cb1e3d35b2bce5c081d19955560a4164eb04d2c89a7e
- Size of remote file:
- 557 MB
- SHA256:
- 53cf646f5d52728d51e725d646d88c62f153e719a718aad787cb343d12780133
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