Instructions to use alphaedge-ai/mbart-large-50-arb-32768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alphaedge-ai/mbart-large-50-arb-32768 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alphaedge-ai/mbart-large-50-arb-32768") model = AutoModelForSeq2SeqLM.from_pretrained("alphaedge-ai/mbart-large-50-arb-32768", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b78c310706b4770b777956e1cc4fa9c54b568a7711e3d27496975fdef7bc72a
- Size of remote file:
- 1.96 GB
- SHA256:
- 879d4a35f3b82e6f43829806e16c5f46ca792f82c6f8f1dd07a6f2c57793e67d
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