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:
- 0322bb3cdb2031849fc71ed20b2ff600b857da45d6bc58166dc8843da00f9fc0
- Size of remote file:
- 2.21 MB
- SHA256:
- 7340b1e2f69403924621590fe888002cc9ceab2b089013d831018861e9a84c49
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