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ChanBeDu
/
vivtb_electra-based_model

Token Classification
Transformers
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Safetensors
Vietnamese
electra
text-generation-inference
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("token-classification", model="ChanBeDu/vivtb_electra-based_model")
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("ChanBeDu/vivtb_electra-based_model")
model = AutoModelForTokenClassification.from_pretrained("ChanBeDu/vivtb_electra-based_model")
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Overview: This model is finetuned based on NlpHUST vietnamese electra based model. The used datased is Universial dependencies dataset. Only the tree branch vi_vtb of the dataset is used for finetuning. The model is used for UPOS tagging task

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Dataset used to train ChanBeDu/vivtb_electra-based_model