Fill-Mask
Transformers
PyTorch
Vietnamese
xlm-roberta
Vietnamese
Social Media
Vietnamese Pre-trained Model
Sentiment Analysis
Hate Speech Detection
Spam Detection
Emotionn Recognition
Instructions to use uitnlp/visobert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uitnlp/visobert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="uitnlp/visobert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("uitnlp/visobert") model = AutoModelForMaskedLM.from_pretrained("uitnlp/visobert") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f10e65fcd0d20bdce8d60122e17bc95d07992226d52d6351ff711b375da8863e
- Size of remote file:
- 390 MB
- SHA256:
- 8ef3c6d188b41f4d39c2eb443e4019927ed861cfa2307557479ccee674dddd6d
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