Instructions to use hf-internal-testing/tiny-random-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-bert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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[Awaiting approval] Upload ONNX weights
Verified signature[Automated] Converted using [Optimum](https://github.com/huggingface/optimum). Models will be merged manually by @Xenova once they have been checked with [Transformers.js](https://github.com/xenova/transformers.js).9364d96
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (fc8aa49a1308e20c3969d152d9b5edf5e3b5fb4b) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>8fc97e1
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v3
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v2 update
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Add model and configuration.
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initial commit
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