Text Classification
Transformers
PyTorch
Safetensors
Vietnamese
roberta
transfomer
sbert
legaltext
vietnamese
Instructions to use hmthanh/VietnamLegalText-SBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hmthanh/VietnamLegalText-SBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hmthanh/VietnamLegalText-SBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hmthanh/VietnamLegalText-SBERT") model = AutoModelForSequenceClassification.from_pretrained("hmthanh/VietnamLegalText-SBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hmthanh/VietnamLegalText-SBERT: direct link, hf CLI and curl.
- Browser
- Download file 2.22 kB
-
https://huggingface.co/hmthanh/VietnamLegalText-SBERT/resolve/main/training_args.bin
- Command line
-
hf download hf://hmthanh/VietnamLegalText-SBERT/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hmthanh/VietnamLegalText-SBERT/resolve/main/training_args.bin
2.22 kB
- Xet hash:
- 88ba668c739c7c5edfc70eaa98f7c01dca8356ffefc3bbc3c05310e84654ade4
- Size of remote file:
- 2.22 kB
- SHA256:
- b37b9aa6cfcdec482c91c0ecfecdc928122385146c1ccb0b35ebc27c241828d3
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