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")# pip install -U transformers accelerate # 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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download neuron/model.neuron from google-bert/bert-large-uncased: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/google-bert/bert-large-uncased/resolve/refs%2Fpr%2F5/neuron/model.neuron
- Command line
-
hf download hf://google-bert/bert-large-uncased@refs/pr/5/neuron/model.neuron
-
curl -L -o model.neuron https://huggingface.co/google-bert/bert-large-uncased/resolve/refs%2Fpr%2F5/neuron/model.neuron
1.36 GB
- Xet hash:
- 9fc23db2014d74e6a2feefad6819dd90d880c95142daee9e035f5720a0b68d78
- Size of remote file:
- 1.36 GB
- SHA256:
- c2e71fd89cd23b09b5ff9c71ee6966378bca57e799ef434a5dc58f1d69349fca
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