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
Download pytorch_model.bin from PhucMap/ViSenSum: direct link, hf CLI and curl.
- Browser
- Download file 526 MB
-
https://huggingface.co/PhucMap/ViSenSum/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PhucMap/ViSenSum/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PhucMap/ViSenSum/resolve/main/pytorch_model.bin
526 MB
- Xet hash:
- 9ffa9a53e129404512f33c64f5fe4837a358957ef106eaa6df8874498404530d
- Size of remote file:
- 526 MB
- SHA256:
- 1284ee6805b3f9c2d590b7dec978a0214c98921e674643af10ff0d567c984e39
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