Instructions to use GV05/bert-base-uncased-transformers-github-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GV05/bert-base-uncased-transformers-github-128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="GV05/bert-base-uncased-transformers-github-128")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("GV05/bert-base-uncased-transformers-github-128") model = AutoModelForMaskedLM.from_pretrained("GV05/bert-base-uncased-transformers-github-128") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:26548edb85710e136baf9367eed13815fb3c7ac9534544c31efbc9f760e4b507
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size 438085208
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