Instructions to use devleoespinosa/bert-base-uncased-issues-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devleoespinosa/bert-base-uncased-issues-128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="devleoespinosa/bert-base-uncased-issues-128")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("devleoespinosa/bert-base-uncased-issues-128") model = AutoModelForMaskedLM.from_pretrained("devleoespinosa/bert-base-uncased-issues-128", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5731872dd87615ba4a90a577c89fa0e7b0df16407c783be4e5e596f0f5513bdd
- Size of remote file:
- 5.3 kB
- SHA256:
- b40fd279910609c78eee081b8c7158ce8e400340a6a83c177bd477a6fd5f5e48
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