Instructions to use alealcoforado/bert-ml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alealcoforado/bert-ml with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("alealcoforado/bert-ml") model = AutoModelForPreTraining.from_pretrained("alealcoforado/bert-ml") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f2b44fd3cfadeed014e500f7c7aa3dfdb7c99e14b34293b299574c99169e54a
- Size of remote file:
- 438 MB
- SHA256:
- 2303c57cfea9d5f5dae9d816d6a74fc626f99d36388458296fb8e114ade3122a
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