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textproc/py-tokenizers: add port: Fast state-of-the-art tokenizers op…
…timized for research and production Provides an implementation of today's most used tokenizers, with a focus on performance and versatility. Main features: - Train new vocabularies and tokenize, using today's most used tokenizers. - Extremely fast (both training and tokenization), thanks to the Rust implementation. Takes less than 20 seconds to tokenize a GB of text on a server's CPU. - Easy to use, but also extremely versatile. - Designed for research and production. - Normalization comes with alignments tracking. It's always possible to get the part of the original sentence that corresponds to a given token. - Does all the pre-processing: Truncate, Pad, add the special tokens your model needs. WWW: https://github.com/huggingface/tokenizers
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PORTNAME= tokenizers | ||
DISTVERSION= 0.15.1 | ||
CATEGORIES= textproc python | ||
MASTER_SITES= PYPI | ||
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} | ||
DISTFILES= ${PORTNAME}-${PORTVERSION}${EXTRACT_SUFX} | ||
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MAINTAINER= tagattie@FreeBSD.org | ||
COMMENT= Fast state-of-the-art tokenizers optimized for research and production | ||
WWW= https://github.com/huggingface/tokenizers | ||
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LICENSE= APACHE20 | ||
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BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}maturin>=1.0<2.0:devel/py-maturin@${PY_FLAVOR} | ||
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}huggingface-hub>=0.16.4<1.0:misc/py-huggingface-hub@${PY_FLAVOR} | ||
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USES= cargo python | ||
USE_PYTHON= autoplist pep517 | ||
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CARGO_CARGOTOML=${WRKSRC}/bindings/python/Cargo.toml | ||
CARGO_CARGOLOCK=${WRKSRC}/bindings/python/Cargo.lock | ||
CARGO_BUILD= no | ||
CARGO_INSTALL= no | ||
CARGO_TEST= no | ||
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post-install: | ||
@${FIND} ${STAGEDIR}${PYTHON_SITELIBDIR} -type f -name '*.so' -exec ${STRIP_CMD} {} ';' | ||
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.include <bsd.port.mk> |
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CARGO_CRATES= aho-corasick-1.1.2 \ | ||
anstream-0.6.5 \ | ||
anstyle-1.0.4 \ | ||
anstyle-parse-0.2.3 \ | ||
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ppv-lite86-0.2.17 \ | ||
proc-macro2-1.0.70 \ | ||
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pyo3-macros-0.20.2 \ | ||
pyo3-macros-backend-0.20.2 \ | ||
quote-1.0.33 \ | ||
rand-0.8.5 \ | ||
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rand_core-0.6.4 \ | ||
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regex-1.10.2 \ | ||
regex-automata-0.4.3 \ | ||
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rustc-hash-1.1.0 \ | ||
rustix-0.38.28 \ | ||
ryu-1.0.16 \ | ||
scopeguard-1.2.0 \ | ||
serde-1.0.193 \ | ||
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wasi-0.11.0+wasi-snapshot-preview1 \ | ||
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