Instructions to use sijia-w/bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sijia-w/bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sijia-w/bert-base-uncased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sijia-w/bert-base-uncased") model = AutoModelForMaskedLM.from_pretrained("sijia-w/bert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Duplicate from google-bert/bert-base-uncased
Verified signatureCo-authored-by: Julien Chaumond <julien-c@users.noreply.huggingface.co>ebc585e