Summarization
Transformers
PyTorch
TensorBoard
Swedish
bart
text2text-generation
Eval Results (legacy)
Instructions to use Gabriel/bart-base-cnn-xsum-cite-swe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gabriel/bart-base-cnn-xsum-cite-swe with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="Gabriel/bart-base-cnn-xsum-cite-swe")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Gabriel/bart-base-cnn-xsum-cite-swe") model = AutoModelForSeq2SeqLM.from_pretrained("Gabriel/bart-base-cnn-xsum-cite-swe", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Gabriel/bart-base-cnn-xsum-cite-swe: direct link, hf CLI and curl.
- Browser
- Download file 468 Bytes
-
https://huggingface.co/Gabriel/bart-base-cnn-xsum-cite-swe/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Gabriel/bart-base-cnn-xsum-cite-swe/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Gabriel/bart-base-cnn-xsum-cite-swe/resolve/main/tokenizer_config.json
468 Bytes
| { | |
| "bos_token": "<s>", | |
| "cls_token": "</s>", | |
| "eos_token": "</s>", | |
| "mask_token": "<mask>", | |
| "name_or_path": "Gabriel/bart-base-cnn-xsum-swe", | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "special_tokens_map_file": "/root/.cache/huggingface/transformers/eeba8b7f723def8f95951bb301a16f684eb8a2b6bfbc13e715d200a2df8a7e61.4405f81af4d0c9b936ce3368cc07277d6d61ec031eac1137ba8e4d9acedd61ee", | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "unk_token": "<unk>" | |
| } | |