Instructions to use SzegedAI/bert-mini_20M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SzegedAI/bert-mini_20M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SzegedAI/bert-mini_20M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SzegedAI/bert-mini_20M") model = AutoModelForMaskedLM.from_pretrained("SzegedAI/bert-mini_20M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SzegedAI/bert-mini_20M: direct link, hf CLI and curl.
- Browser
- Download file 43.3 MB
-
https://huggingface.co/SzegedAI/bert-mini_20M/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SzegedAI/bert-mini_20M/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SzegedAI/bert-mini_20M/resolve/main/pytorch_model.bin
43.3 MB
- Xet hash:
- d9481f7143a94436125f73d6f801b247bd0c1ba862de908ca54779423802b37e
- Size of remote file:
- 43.3 MB
- SHA256:
- e4416b6985e430be016d035e6eada50a53eacf28cf1cc699a0bdf293dc95b399
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