Instructions to use SzegedAI/bert-tiny_20M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SzegedAI/bert-tiny_20M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SzegedAI/bert-tiny_20M")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SzegedAI/bert-tiny_20M") model = AutoModelForMaskedLM.from_pretrained("SzegedAI/bert-tiny_20M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3e1d22b9bda76861dc809f9c19a1d479c39240ad085bd838f103e80879f4c79
- Size of remote file:
- 16.9 MB
- SHA256:
- dbe141135dad176a4c9b1e77caed821300a7494682df43930f3909f56864e0e7
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