Text Classification
Transformers
Safetensors
Vietnamese
xlm-roberta
cross-encoder
rerank
text-embeddings-inference
Instructions to use namdp-ptit/ViRanker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use namdp-ptit/ViRanker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="namdp-ptit/ViRanker")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("namdp-ptit/ViRanker") model = AutoModelForSequenceClassification.from_pretrained("namdp-ptit/ViRanker", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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author={Nam Dang Phuong},
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year={2024},
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publisher={Huggingface},
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journal={huggingface repository},
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howpublished={\url{https://huggingface.co/namdp/ViRanker}},
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}
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```
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author={Nam Dang Phuong},
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year={2024},
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publisher={Huggingface},
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}
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```
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