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 training_args.bin from ndbao2002/bert-base-vi: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/ndbao2002/bert-base-vi/resolve/main/training_args.bin
- Command line
-
hf download hf://ndbao2002/bert-base-vi/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ndbao2002/bert-base-vi/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 77483dd22328200b22218115c26e5cfc1e714e93763bd8efe028698458bc84f3
- Size of remote file:
- 3.58 kB
- SHA256:
- 63488ebfee2f6b32b1d79ca8a1eec071025dd127bbac2872fdee419fcf674a8a
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