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This repo contains a
WordPiece
tokenizer trained on the
Amharic
subset of the
oscar
and
mc4
datasets. It's the same as the
BERT
tokenizer but trained from scratch on an amharic text dataset, with a vocabulary size of
24576
.
How to use
You can load the tokenizer from huggingface hub as follows.
bert-amharic-tokenizer-24k huggingface.co is an AI model on huggingface.co that provides bert-amharic-tokenizer-24k's model effect (), which can be used instantly with this rasyosef bert-amharic-tokenizer-24k model. huggingface.co supports a free trial of the bert-amharic-tokenizer-24k model, and also provides paid use of the bert-amharic-tokenizer-24k. Support call bert-amharic-tokenizer-24k model through api, including Node.js, Python, http.
bert-amharic-tokenizer-24k huggingface.co is an online trial and call api platform, which integrates bert-amharic-tokenizer-24k's modeling effects, including api services, and provides a free online trial of bert-amharic-tokenizer-24k, you can try bert-amharic-tokenizer-24k online for free by clicking the link below.
rasyosef bert-amharic-tokenizer-24k online free url in huggingface.co:
bert-amharic-tokenizer-24k is an open source model from GitHub that offers a free installation service, and any user can find bert-amharic-tokenizer-24k on GitHub to install. At the same time, huggingface.co provides the effect of bert-amharic-tokenizer-24k install, users can directly use bert-amharic-tokenizer-24k installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
bert-amharic-tokenizer-24k install url in huggingface.co: