Instructions to use vietgpt/bert-70M-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vietgpt/bert-70M-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vietgpt/bert-70M-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vietgpt/bert-70M-cased") model = AutoModelForMaskedLM.from_pretrained("vietgpt/bert-70M-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59dbaf0ed46080984d3e307e37677304b804654cc022a12f20d43e745232b136
- Size of remote file:
- 283 MB
- SHA256:
- 92ae3a0a4b96df188c8961a9437ed16a2851ad2c4366631548fe51d2da32b0fc
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