Instructions to use susnato/bert-base-uncased-issues-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use susnato/bert-base-uncased-issues-128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="susnato/bert-base-uncased-issues-128")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("susnato/bert-base-uncased-issues-128") model = AutoModelForMaskedLM.from_pretrained("susnato/bert-base-uncased-issues-128") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39192f6c179bb432eb27078d985469ec9c6ddf69612dda0c5ea427132fb36ffc
- Size of remote file:
- 438 MB
- SHA256:
- ff566e8dd14a9cf23bb83716ccfc853166e643c3fa802f55e827a09bf5b03afb
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