Instructions to use SzegedAI/bert-tiny5M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SzegedAI/bert-tiny5M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SzegedAI/bert-tiny5M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SzegedAI/bert-tiny5M") model = AutoModel.from_pretrained("SzegedAI/bert-tiny5M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SzegedAI/bert-tiny5M: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/SzegedAI/bert-tiny5M/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SzegedAI/bert-tiny5M/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SzegedAI/bert-tiny5M/resolve/main/pytorch_model.bin
16.8 MB
- Xet hash:
- dd4f17de558e257b9b09a50ad8feb0be40574448145d0d09013e246ef5abe2f0
- Size of remote file:
- 16.8 MB
- SHA256:
- d2e4c784296073c1ac8aec79b84c43596957e6546703f42fef38d6323b11f3d7
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