Text Classification
Transformers
PyTorch
TensorBoard
Vietnamese
bert
Generated from Trainer
text-embeddings-inference
Instructions to use ndbao2002/bert-base-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ndbao2002/bert-base-vi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ndbao2002/bert-base-vi")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ndbao2002/bert-base-vi") model = AutoModelForSequenceClassification.from_pretrained("ndbao2002/bert-base-vi") - Notebooks
- Google Colab
- Kaggle
Ngô Đức Bảo commited on
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dd7f68a
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Parent(s): edd7c4f
Update config.json
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config.json
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"_name_or_path": "
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"architectures": [
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"BertForSequenceClassification"
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"_name_or_path": "bert-base-uncased",
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"architectures": [
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