Instructions to use alphaedge-ai/mbart-large-50-kat-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-kat-16384 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alphaedge-ai/mbart-large-50-kat-16384") model = AutoModelForSeq2SeqLM.from_pretrained("alphaedge-ai/mbart-large-50-kat-16384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0e886cb8644f08af8df64a2903dccaf15c1122ff330f03147a7808300f895ea
- Size of remote file:
- 518 kB
- SHA256:
- 5f95e2212a28ff4d167f3dba074835a404ede08ee3b0acea61e6da25801b02ae
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