Instructions to use lysandre/bert-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lysandre/bert-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lysandre/bert-test")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lysandre/bert-test") model = AutoModel.from_pretrained("lysandre/bert-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b6adc34ce9ef48408f6f0617279df897650a17fb92f8e6914b716bc00022ed0
- Size of remote file:
- 16.8 MB
- SHA256:
- fc69433c9d38d0c80a143290213ac4edc0d8aba8477db707de69e08666f0711d
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