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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ndbao2002/bert-base-vi") model = AutoModelForSequenceClassification.from_pretrained("ndbao2002/bert-base-vi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ndbao2002/bert-base-vi: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/ndbao2002/bert-base-vi/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ndbao2002/bert-base-vi/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ndbao2002/bert-base-vi/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 72db1f9fa509bf5cfe6b83969fcd17dae0bcf1eac1c5d142423dec65bc08a57c
- Size of remote file:
- 438 MB
- SHA256:
- bc3c3254f4d75be678d3ab1e1e7c888cac2c3f44a3933ac790ec4438141706ac
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