| Port details |
- py-spacy-llm Integrate LLMs into structured NLP pipelines
- 0.7.1_2 textproc
 =2      0.7.1_2Version of this port present on the latest quarterly branch. - Maintainer: sunpoet@FreeBSD.org
- Port Added: 2024-02-21 15:19:38
- Last Update: 2024-05-20 10:33:03
- Commit Hash: b66e494
- People watching this port, also watch:: jdictionary, py311-Automat, py311-python-gdsii, py39-PyOpenGL, p5-Sane
- Also Listed In: python
- License: MIT
- WWW:
- https://spacy.io/usage/large-language-models
- https://github.com/explosion/spacy-llm
- Description:
- Structured NLP with LLMs
spacy-llm integrates Large Language Models (LLMs) into spaCy, featuring a
modular system for fast prototyping and prompting, and turning unstructured
responses into robust outputs for various NLP tasks, no training data required.
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- Manual pages:
- FreshPorts has no man page information for this port.
- pkg-plist: as obtained via:
make generate-plist - There is no configure plist information for this port.
- Dependency lines:
-
- ${PYTHON_PKGNAMEPREFIX}spacy-llm>0:textproc/py-spacy-llm@${PY_FLAVOR}
- To install the port:
- cd /usr/ports/textproc/py-spacy-llm/ && make install clean
- To add the package, run one of these commands:
- pkg install textproc/py-spacy-llm
- pkg install py39-spacy-llm
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.
NOTE: This is a Python port. Instead of py39-spacy-llm listed in the above command, you can pick from the names under the Packages section.- PKGNAME: py39-spacy-llm
- Package flavors (<flavor>: <package>)
- distinfo:
- TIMESTAMP = 1708448856
SHA256 (spacy-llm-0.7.1.tar.gz) = c59fe8fbf71aee1bc4243488ecdb7b7e9b3df81877d5e7ac661b899b658b73d6
SIZE (spacy-llm-0.7.1.tar.gz) = 149795
Packages (timestamps in pop-ups are UTC):
- Dependencies
- NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
- Build dependencies:
-
- py39-setuptools>=0 : devel/py-setuptools@py39
- py39-wheel>=0 : devel/py-wheel@py39
- python3.9 : lang/python39
- py39-build>=0 : devel/py-build@py39
- py39-installer>=0 : devel/py-installer@py39
- Test dependencies:
-
- python3.9 : lang/python39
- Runtime dependencies:
-
- py39-confection>=0.1.3<1.0.0 : devel/py-confection@py39
- py39-Jinja2>=0 : devel/py-Jinja2@py39
- py39-spacy>=3.5<4.0 : textproc/py-spacy@py39
- python3.9 : lang/python39
- There are no ports dependent upon this port
Configuration Options:- No options to configure
- Options name:
- textproc_py-spacy-llm
- USES:
- python
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
|
Number of commits found: 3
| Commit History - (may be incomplete: for full details, see links to repositories near top of page) |
| Commit | Credits | Log message |
|---|
0.7.1_2
20 May 2024 10:33:03
 |
Vsevolod Stakhov (vsevolod) |
security/libsodium: update to 1.0.19, bump dependent ports
PR: 278259
Reported by: Andrey Korobkov <alster-vinterdalen.se> |
0.7.1_1
13 May 2024 14:10:40
|
Po-Chuan Hsieh (sunpoet) |
textproc/py-spacy-llm: Convert to USE_PYTHON=pep517
- Fix typo: BUILD_DEPENDS -> RUN_DEPENDS
- Bump PORTREVISION for dependency and package change |
0.7.1
21 Feb 2024 15:06:10
|
Po-Chuan Hsieh (sunpoet) |
textproc/py-spacy-llm: Add py-spacy-llm 0.7.1
Structured NLP with LLMs
spacy-llm integrates Large Language Models (LLMs) into spaCy, featuring a
modular system for fast prototyping and prompting, and turning unstructured
responses into robust outputs for various NLP tasks, no training data required. |
Number of commits found: 3
|
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