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
Commit ·
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Parent(s): ec6e25b
added tf model
Browse files- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:8a44a52e52c6c7a04a10221cd7b4e4c6dc6b76d7980bbf8041748d12b046697e
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size 438205800
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