Instructions to use KBLab/bart-base-swedish-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KBLab/bart-base-swedish-cased with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KBLab/bart-base-swedish-cased") model = AutoModelForSeq2SeqLM.from_pretrained("KBLab/bart-base-swedish-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from KBLab/bart-base-swedish-cased: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/KBLab/bart-base-swedish-cased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://KBLab/bart-base-swedish-cased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/KBLab/bart-base-swedish-cased/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- eac9b69ef3c7727aec1bb731893b85c329fcc7acfaaa477a68dbcef64c137d03
- Size of remote file:
- 558 MB
- SHA256:
- 81d4bf4bb85c0c3a643abd7a880461ee098e2a981750a7ef90bff3a3e0caffa3
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