Instructions to use cvnberk/bert-base-uncased-issues-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cvnberk/bert-base-uncased-issues-128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cvnberk/bert-base-uncased-issues-128")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cvnberk/bert-base-uncased-issues-128") model = AutoModelForMaskedLM.from_pretrained("cvnberk/bert-base-uncased-issues-128", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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