Instructions to use rasyosef/bert-tiny-amharic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rasyosef/bert-tiny-amharic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="rasyosef/bert-tiny-amharic")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rasyosef/bert-tiny-amharic") model = AutoModelForMaskedLM.from_pretrained("rasyosef/bert-tiny-amharic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from rasyosef/bert-tiny-amharic: direct link, hf CLI and curl.
- Browser
- Download file 725 kB
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https://huggingface.co/rasyosef/bert-tiny-amharic/resolve/main/tokenizer.json
- Command line
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hf download hf://rasyosef/bert-tiny-amharic/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/rasyosef/bert-tiny-amharic/resolve/main/tokenizer.json
725 kB
File too large to display, you can check the raw version instead.