Transformers
Safetensors
Portuguese
bart
text2text-generation
text-summarization
abstractive-summarization
portuguese
administrative-documents
municipal-meetings
bart-large-cnn
Instructions to use anonymous12321/Bart-Large-Summarization-Council-PT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anonymous12321/Bart-Large-Summarization-Council-PT with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("anonymous12321/Bart-Large-Summarization-Council-PT") model = AutoModelForSeq2SeqLM.from_pretrained("anonymous12321/Bart-Large-Summarization-Council-PT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from anonymous12321/Bart-Large-Summarization-Council-PT: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/anonymous12321/Bart-Large-Summarization-Council-PT/resolve/main/tokenizer.json
- Command line
-
hf download hf://anonymous12321/Bart-Large-Summarization-Council-PT/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/anonymous12321/Bart-Large-Summarization-Council-PT/resolve/main/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.