Instructions to use SzegedAI/bert-small5M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SzegedAI/bert-small5M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SzegedAI/bert-small5M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SzegedAI/bert-small5M") model = AutoModel.from_pretrained("SzegedAI/bert-small5M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SzegedAI/bert-small5M: direct link, hf CLI and curl.
- Browser
- Download file 112 MB
-
https://huggingface.co/SzegedAI/bert-small5M/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SzegedAI/bert-small5M/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SzegedAI/bert-small5M/resolve/main/pytorch_model.bin
112 MB
- Xet hash:
- d01c75f02ccc804b81f3e19f56bbd3e14d66f419378e7d1fbcd41464ebebad33
- Size of remote file:
- 112 MB
- SHA256:
- 38ad6727a107835c0672a34740a9b7838b8964157bfe440e881852e78fb9e26e
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