Summarization
Transformers
PyTorch
TensorFlow
Vietnamese
t5
text2text-generation
text-generation-inference
Instructions to use VietAI/vit5-large-vietnews-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VietAI/vit5-large-vietnews-summarization 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="VietAI/vit5-large-vietnews-summarization")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("VietAI/vit5-large-vietnews-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("VietAI/vit5-large-vietnews-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from VietAI/vit5-large-vietnews-summarization: direct link, hf CLI and curl.
- Browser
- Download file 3.17 GB
-
https://huggingface.co/VietAI/vit5-large-vietnews-summarization/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://VietAI/vit5-large-vietnews-summarization/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/VietAI/vit5-large-vietnews-summarization/resolve/main/pytorch_model.bin
3.17 GB
- Xet hash:
- f28bd46f0d8023700c77e5d3848112c9f35670500975c1d5a519651b8450a98b
- Size of remote file:
- 3.17 GB
- SHA256:
- 7c524804e16b992b38ed32b14cf495399e0c70dd0b26aa414f4d93d5acca4254
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