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:
- 4e3c6ed3460c84fb130e93f1755e403360fa6ac27bccce0824cdedb1dd5d0e2e
- Size of remote file:
- 438 MB
- SHA256:
- 0f33cf990bed1fda7c4b715411112d191f31dbc8545bcaa8707bb2e9626ea5bc
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