Fill-Mask
Transformers
PyTorch
Safetensors
Vietnamese
xlm-roberta
Vietnamese Question Answering
Vietnamese Reading Comprehension
Vietnamese Language Understanding
Vietnamese Natural Language Inference
Instructions to use uitnlp/CafeBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uitnlp/CafeBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="uitnlp/CafeBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("uitnlp/CafeBERT") model = AutoModelForMaskedLM.from_pretrained("uitnlp/CafeBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fb52d337b5be9505cf91504673b1c3022ca8583a6a6d854eb7754e6ead8dcd5
- Size of remote file:
- 2.24 GB
- SHA256:
- 374ccdd43a7df625776194d82307eca1a8744329d9b2ab45b4d8581965669ded
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