Instructions to use ashraq/bert-random-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashraq/bert-random-weights with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ashraq/bert-random-weights")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ashraq/bert-random-weights") model = AutoModelForMaskedLM.from_pretrained("ashraq/bert-random-weights") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7c27219fb0ce445969a1876fcda99323f065c2d8d820594c538c31f55ed2c82
- Size of remote file:
- 13.6 MB
- SHA256:
- 09216b42d2697b7b4a26ac05ff09ba8bf52dc19b896c5ceee8bbff9f39055322
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