Instructions to use adalbertojunior/bart-base-portuguese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adalbertojunior/bart-base-portuguese with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("adalbertojunior/bart-base-portuguese") model = AutoModelForSeq2SeqLM.from_pretrained("adalbertojunior/bart-base-portuguese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from adalbertojunior/bart-base-portuguese: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/adalbertojunior/bart-base-portuguese/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://adalbertojunior/bart-base-portuguese/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/adalbertojunior/bart-base-portuguese/resolve/main/flax_model.msgpack
558 MB
- Xet hash:
- ffed30f101446a7a2cf01736bafdec8c02a111140c9b783e10ffce3e4fce5ecf
- Size of remote file:
- 558 MB
- SHA256:
- d93f72750bb8bba0d647fda5b1eb5d335519cb90f69516d76134cc27de807f13
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