Instructions to use DeepWokLab/bert-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepWokLab/bert-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DeepWokLab/bert-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("DeepWokLab/bert-tiny") model = AutoModel.from_pretrained("DeepWokLab/bert-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from DeepWokLab/bert-tiny: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/DeepWokLab/bert-tiny/resolve/fdae3b1db7e6d81f00aef41114a5b3e70b9c31f2/tokenizer.json
- Command line
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hf download hf://DeepWokLab/bert-tiny@fdae3b1db7e6d81f00aef41114a5b3e70b9c31f2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/DeepWokLab/bert-tiny/resolve/fdae3b1db7e6d81f00aef41114a5b3e70b9c31f2/tokenizer.json
711 kB
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