Transformers
Safetensors
Portuguese
led
text2text-generation
text-summarization
abstractive-summarization
portuguese
administrative-documents
municipal-meetings
primera
Instructions to use anonymous12321/Primera-Summarization-Council-PT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anonymous12321/Primera-Summarization-Council-PT with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("anonymous12321/Primera-Summarization-Council-PT") model = AutoModelForSeq2SeqLM.from_pretrained("anonymous12321/Primera-Summarization-Council-PT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3da8774da6d639b32b76c63d4322725041d64357249e5acb9e2c9201bd9f3be8
- Size of remote file:
- 5.78 kB
- SHA256:
- 45daab52c604ad69f6d155f01ff1810c82a38674204e0b401dbf4742494986c1
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