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 model.safetensors from DeepWokLab/bert-tiny: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/DeepWokLab/bert-tiny/resolve/main/model.safetensors
- Command line
-
hf download hf://DeepWokLab/bert-tiny/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/DeepWokLab/bert-tiny/resolve/main/model.safetensors
17.5 MB
- Xet hash:
- a819169f27f73fec1c245288a89d2072adaff94824f5863cf3b427c0e4e7592e
- Size of remote file:
- 17.5 MB
- SHA256:
- a5e5c26a61c79c819c6b61d7dc112b83ffa20109b35544fc74befca3eba51ea8
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