Instructions to use dd3434/bert-base-uncased-issues-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dd3434/bert-base-uncased-issues-128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dd3434/bert-base-uncased-issues-128")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dd3434/bert-base-uncased-issues-128") model = AutoModelForMaskedLM.from_pretrained("dd3434/bert-base-uncased-issues-128", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 939e9426777bb049f8efc370a13912abff6fecc970afdb376d01516fa9578ba3
- Size of remote file:
- 5.11 kB
- SHA256:
- c3597d85cdeca9cfba557c7379babbd62e5b7f7f3e14e0ef25f19ef5b9962a23
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