Instructions to use AnanthZeke/bert-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnanthZeke/bert-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AnanthZeke/bert-tiny")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AnanthZeke/bert-tiny") model = AutoModelForMaskedLM.from_pretrained("AnanthZeke/bert-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e63ea664df77d0562be67da81049663ca97899e68f39e1b5dfaf4bbae0db4d47
- Size of remote file:
- 3.64 kB
- SHA256:
- a0eca695206891be63d58ffbe5c3d1a1d741d789855fc78ff88966d812c3420a
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