Text Classification
Transformers
Safetensors
Vietnamese
bert
feature-extraction
fact-checking
text-embeddings-inference
Instructions to use SonFox2920/MBert_FC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SonFox2920/MBert_FC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SonFox2920/MBert_FC")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SonFox2920/MBert_FC") model = AutoModel.from_pretrained("SonFox2920/MBert_FC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from SonFox2920/MBert_FC: direct link, hf CLI and curl.
- Browser
- Download file 2.92 MB
-
https://huggingface.co/SonFox2920/MBert_FC/resolve/main/tokenizer.json
- Command line
-
hf download hf://SonFox2920/MBert_FC/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/SonFox2920/MBert_FC/resolve/main/tokenizer.json
2.92 MB
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