Instructions to use alphaedge-ai/mbart-large-50-ces-16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alphaedge-ai/mbart-large-50-ces-16384 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alphaedge-ai/mbart-large-50-ces-16384") model = AutoModelForSeq2SeqLM.from_pretrained("alphaedge-ai/mbart-large-50-ces-16384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f0e03cc808ac421e059544e225bf2fc53a5dde109bf2c34902000e7c4ac4d38
- Size of remote file:
- 491 kB
- SHA256:
- 671b156ec4d2d60c38a45999a1d603ba6d6932a2ab8265b2c862f571bba96a08
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.