Text Classification
Transformers
PyTorch
Vietnamese
vietnamese
summarization
evaluation
cross-encoder
research
Instructions to use phuongntc/MultiEvalVietSum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phuongntc/MultiEvalVietSum with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="phuongntc/MultiEvalVietSum")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("phuongntc/MultiEvalVietSum", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e071e96e25bbb0ea8270f495a4a240f692ad2124d2cf65c9abcc973de362be3e
- Size of remote file:
- 1.23 GB
- SHA256:
- a8b38a5508327b1f79a42074c322d9bb628ee56f60600d612c7481c124fb89d1
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