Instructions to use lzhang472/bert-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lzhang472/bert-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lzhang472/bert-en")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lzhang472/bert-en") model = AutoModelForMaskedLM.from_pretrained("lzhang472/bert-en") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:adde38383f0af3587b3198f6aed46dd8a60709f3bd8373c711ae6d02d966e7d2
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size 437972060
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