Instructions to use PhucMap/ViSenSum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PhucMap/ViSenSum 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="PhucMap/ViSenSum")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PhucMap/ViSenSum") model = AutoModelForSeq2SeqLM.from_pretrained("PhucMap/ViSenSum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from PhucMap/ViSenSum: direct link, hf CLI and curl.
- Browser
- Download file 80 Bytes
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https://huggingface.co/PhucMap/ViSenSum/resolve/main/README.md
- Command line
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hf download hf://PhucMap/ViSenSum/README.md
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curl -L -o README.md https://huggingface.co/PhucMap/ViSenSum/resolve/main/README.md
80 Bytes
| license: mit | |
| language: | |
| - vi | |
| metrics: | |
| - rouge | |
| pipeline_tag: summarization | |