Instructions to use VMware/vbert-2021-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VMware/vbert-2021-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="VMware/vbert-2021-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("VMware/vbert-2021-base") model = AutoModelForMaskedLM.from_pretrained("VMware/vbert-2021-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19fd7d43b2a78ce59ce8910322eee605d88c7ca42ee69fa8dd1234abdb99ff01
- Size of remote file:
- 441 MB
- SHA256:
- 1588ca5c086c830d28a0f3963afa46043cacb21378827c9b6bf6bb188df313f0
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