Instructions to use NlpHUST/electra-base-vn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NlpHUST/electra-base-vn with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("NlpHUST/electra-base-vn") model = AutoModelForPreTraining.from_pretrained("NlpHUST/electra-base-vn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signaturee52ff40
-
Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (47681b17e02b92387c0fb80ef6cb9c408521db96) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>00c3b52
-
Update README.md
be0d6dd
-
Update README.md
94b77d8 -
Update README.md
29bdc44 -
Update README.md
0f0aff3
-
Create tokenizer_config.json
a06518b
-
Update README.md
efee07e
-
Update README.md
e2ab606 -
Update README.md
b82f174 -
Update README.md
fb87ffd
-
Create README.md
cd0e509
-
init model
bino2821c358da -
initial commit
e21dd7d