Token Classification
Transformers
TensorBoard
Safetensors
Vietnamese
electra
text-generation-inference
Instructions to use ChanBeDu/vivtb_electra-based_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChanBeDu/vivtb_electra-based_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ChanBeDu/vivtb_electra-based_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ChanBeDu/vivtb_electra-based_model") model = AutoModelForTokenClassification.from_pretrained("ChanBeDu/vivtb_electra-based_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ChanBeDu/vivtb_electra-based_model: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/ChanBeDu/vivtb_electra-based_model/resolve/main/training_args.bin
- Command line
-
hf download hf://ChanBeDu/vivtb_electra-based_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ChanBeDu/vivtb_electra-based_model/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 93e226e0e0d047b750a6a49a8db6e6ea39f12ca9ba5848b3c084eb529aa9279d
- Size of remote file:
- 5.11 kB
- SHA256:
- 234a44e24914987c7e9c985642c7e39e47bb9ca692c4f5f1db8254eea2433f1f
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