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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("VMware/vbert-2021-base") model = AutoModelForMaskedLM.from_pretrained("VMware/vbert-2021-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (5f9456e3364322d16443c87fb0ef7caaa46037a1) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>42a9c53
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initial commit
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