Instructions to use vietgpt/bert-30M-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vietgpt/bert-30M-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vietgpt/bert-30M-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vietgpt/bert-30M-uncased") model = AutoModelForMaskedLM.from_pretrained("vietgpt/bert-30M-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): ef046df
Create README.md
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README.md
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---
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license: apache-2.0
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datasets:
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- hieunguyen1053/binhvq-news-corpus
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language:
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- vi
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library_name: transformers
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pipeline_tag: fill-mask
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widget:
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- text: "tôi là <mask> viên trường đại học tôn đức thắng"
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example_title: "Example 1"
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---
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