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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from VMware/vbert-2021-base: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/VMware/vbert-2021-base/resolve/main/model.safetensors
- Command line
-
hf download hf://VMware/vbert-2021-base/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/VMware/vbert-2021-base/resolve/main/model.safetensors
440 MB
- Xet hash:
- 2164cdbd219e468475c386796986a19c68f3af1d164af9a10dc45b6dee4d38e5
- Size of remote file:
- 440 MB
- SHA256:
- b8cd020eccea6fb78f94b304867d7287df1c72fdc83f0cac11b636b589fa0a05
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