Instructions to use linhphanff/simlm_bert_vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use linhphanff/simlm_bert_vi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="linhphanff/simlm_bert_vi")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("linhphanff/simlm_bert_vi") model = AutoModel.from_pretrained("linhphanff/simlm_bert_vi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc142cbe1ffddd0c72c0aaf39baae4ec42ebce9b800fa2b09180bbcab0ea6adc
- Size of remote file:
- 535 MB
- SHA256:
- 82e25efae9d1f0f67ff78e9c16f309d4769066360b6aa25ef05ec2b0feb38546
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.