Instructions to use VMware/vbert-2021-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VMware/vbert-2021-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="VMware/vbert-2021-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("VMware/vbert-2021-large") model = AutoModelForMaskedLM.from_pretrained("VMware/vbert-2021-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54c5b17087644d483e55158ae6c92297a95881bcd3a479fa5b2b6ec18bf5439f
- Size of remote file:
- 1.35 GB
- SHA256:
- d953c283132df733fc33617b557833e10d245196c9bb9d2007251c8434dd46f8
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