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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d93b59e4578542fd93b9b2f4bab2111da41289ba5591c0a508cffe5b33e51419
- Size of remote file:
- 2.24 GB
- SHA256:
- a7306a5665746ca3c617264d5055fc8c399612e1042511549016178fc550bb81
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