Instructions to use LongNN/TextSummarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LongNN/TextSummarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("LongNN/TextSummarization") model = AutoModelForSeq2SeqLM.from_pretrained("LongNN/TextSummarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from LongNN/TextSummarization: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/LongNN/TextSummarization/resolve/main/tokenizer.json
- Command line
-
hf download hf://LongNN/TextSummarization/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/LongNN/TextSummarization/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 9f73c074959f54ccfb6aa2c930a85269e547b6815a4b32443920a843a007a850
- Size of remote file:
- 16.3 MB
- SHA256:
- 6502d07619068a98aa2d3bb531332a694ffe108ca6c6fe62a467ccfe98d666b9
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