Transformers
Safetensors
Portuguese
mbart
text2text-generation
text-summarization
abstractive-summarization
portuguese
administrative-documents
municipal-meetings
mbart-50
Instructions to use inesctec/CitiLink-mBART-50-Summarization-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inesctec/CitiLink-mBART-50-Summarization-pt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("inesctec/CitiLink-mBART-50-Summarization-pt") model = AutoModelForSeq2SeqLM.from_pretrained("inesctec/CitiLink-mBART-50-Summarization-pt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e41424bede6628222daa826b7ac88d812da7b090b72bf2392f5cf12020398921
- Size of remote file:
- 17.1 MB
- SHA256:
- 08ea37222a984341464d6dfbe14df4abca5f0a6c489ca04d6a3ae18bc1a88f47
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