Instructions to use AndyChiang/bert-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndyChiang/bert-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AndyChiang/bert-test")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AndyChiang/bert-test") model = AutoModelForMaskedLM.from_pretrained("AndyChiang/bert-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8df8726f40e5a9f855f23dfd51b01964c8d238f5169865053fd599346df2bc82
- Size of remote file:
- 534 MB
- SHA256:
- 5152148e22e68748aee0111ace60a0b60a3ea168d6356c61f57ea1bf6797a1d9
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