Instructions to use google-bert/bert-large-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-bert/bert-large-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-large-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-large-uncased") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-large-uncased") - Inference
- Notebooks
- Google Colab
- Kaggle
addition of Rust model (#2)
Browse files- addition of Rust model (cf3f2250613a124f105776a20f769b8120ab617b)
Co-authored-by: Kavan Mevada <kavanmevada@users.noreply.huggingface.co>
- rust_model.ot +3 -0
rust_model.ot
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version https://git-lfs.github.com/spec/v1
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oid sha256:9db92b28d6fb0e5ab770b24ed27bde941d1f314a3c5e8c28d698025cc1807d7f
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size 1470048625
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