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huynhtin
/
ViCLSR

Feature Extraction
Transformers
PyTorch
Vietnamese
xlm-roberta
vietnamese
contrastive-learning
sentence-embedding
natural-language-inference
low-resource
nlu
Model card Files Files and versions
xet
Community
8

Instructions to use huynhtin/ViCLSR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use huynhtin/ViCLSR with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="huynhtin/ViCLSR")
    # Load model directly
    from transformers import AutoTokenizer, XLMRobertaForCL
    
    tokenizer = AutoTokenizer.from_pretrained("huynhtin/ViCLSR")
    model = XLMRobertaForCL.from_pretrained("huynhtin/ViCLSR")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#8 opened 1 day ago by
SFconvertbot

Adding `safetensors` variant of this model

#7 opened 20 days ago by
SFconvertbot

Adding `safetensors` variant of this model

#6 opened 20 days ago by
SFconvertbot

Adding `safetensors` variant of this model

#5 opened 20 days ago by
SFconvertbot

Adding `safetensors` variant of this model

#4 opened about 1 month ago by
SFconvertbot

Adding `safetensors` variant of this model

#3 opened about 1 month ago by
SFconvertbot

Adding `safetensors` variant of this model

#2 opened about 1 month ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened 3 months ago by
SFconvertbot
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