Token Classification
Transformers
PyTorch
Vietnamese
deberta-v2
transformer
vietnamese
nlp
bert
deberta
deberta-v3
Instructions to use Fsoft-AIC/videberta-xsmall with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fsoft-AIC/videberta-xsmall with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Fsoft-AIC/videberta-xsmall")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Fsoft-AIC/videberta-xsmall", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Fsoft-AIC/videberta-xsmall: direct link, hf CLI and curl.
- Browser
- Download file 8.49 MB
-
https://huggingface.co/Fsoft-AIC/videberta-xsmall/resolve/main/tokenizer.json
- Command line
-
hf download hf://Fsoft-AIC/videberta-xsmall/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Fsoft-AIC/videberta-xsmall/resolve/main/tokenizer.json
8.49 MB
File too large to display, you can check the raw version instead.