Instructions to use HPLT/hplt_bert_base_vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_vi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_vi", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_vi", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 262e01f1fed5bbac34584c06329ff6f49c23be6fd8a8dca36e43533ea93174ac
- Size of remote file:
- 525 MB
- SHA256:
- b424d7a3192c425e40f1911a8ec4fe03952fb24d6a6da241061cfd503f688cda
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