How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("feature-extraction", model="DeepWokLab/bert-tiny")
# Load model directly
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("DeepWokLab/bert-tiny")
model = AutoModel.from_pretrained("DeepWokLab/bert-tiny")
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BERT-Tiny

This checkpoint was originally from Google's BERT repository, and was converted to HuggingFace format by prajjwal1/bert-tiny.

We forces contiguous tensors in the state_dict and uploaded here for MASE and Advanced Deep Learning System Lab.

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Safetensors
Model size
4.39M params
Tensor type
F32
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