Instructions to use cuongtran/BARTTextSummarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuongtran/BARTTextSummarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cuongtran/BARTTextSummarization") model = AutoModelForSeq2SeqLM.from_pretrained("cuongtran/BARTTextSummarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from cuongtran/BARTTextSummarization: direct link, hf CLI and curl.
- Browser
- Download file 284 Bytes
-
https://huggingface.co/cuongtran/BARTTextSummarization/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://cuongtran/BARTTextSummarization/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/cuongtran/BARTTextSummarization/resolve/main/tokenizer_config.json
284 Bytes
| {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "vinai/bartpho-word", "tokenizer_class": "PhobertTokenizer"} |