معرفی شرکت ها

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

CompassionAI Project Garland - machine translation for classical Tibetan

ویژگی	مقدار
سیستم عامل	-
نام فایل	compassionai-garland-0.2.1
نام	compassionai-garland
نسخه کتابخانه	0.2.1
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	CompassionAI
ایمیل نویسنده	contact@compassion-ai.org
آدرس صفحه اصلی	https://github.com/compassionai/garland
آدرس اینترنتی	https://pypi.org/project/compassionai-garland/
مجوز	-

# CompassionAI project Garland - neural machine translation from classical Tibetan Machine translation from classical literary Tibetan. Current focus is on: - Custom neural machine translation models that build on Hugging Face Transformers. - Using short sentence translation models published by the big research labs, such as FAIR, as backbone models for translating long texts. Eventually these techniques may generalize to other low resource languages. ## Installation There are two modes for this library - inference and research. We provide instructions for Linux. - Inference should work on MacOS and Windows _mutatis mutandis_. - We *very strongly* recommend doing research *only* on Linux. We will not provide any support to people trying to perform research tasks without installing Linux. ### Virtual environment We strongly recommend using a virtual environment for all your Python package installations, including anything from CompassionAI. To facilitate this, we provide a simple Conda environment YAML file in the CompassionAI/common repo. We recommend first installing miniconda, see <https://docs.conda.io/en/main/miniconda.html>. We then recommend installing Mamba, see <https://github.com/mamba-org/mamba>. ```bash bash Miniconda3-latest-Linux-x86_64.sh conda install mamba -c conda-forge cd compassionai/common mamba env create -f env-minimal.yml -n my-env conda activate my-env ``` ### Inference Just install with pip: ```bash pip install compassionai-garland ``` ### Research Begin by installing for inference. Then install the CompassionAI data registry repo and set two environment variables: ```bash $CAI_TEMP_PATH $CAI_DATA_BASE_PATH ``` We strongly recommend setting them with conda in your virtual environment: ```bash conda activate my-env conda env config vars set CAI_TEMP_PATH=#directory on a mountpoint with plenty of space, does not need to be fast conda env config vars set CAI_DATA_BASE_PATH=#absolute path to the CompassionAI data registry ``` Our code uses these environment variables to load datasets from the registry, output processed datasets and store training results. ## Usage ### Inference This is a supporting library for our main inference repos, such as Lotsawa. You shouldn't need to use it directly. ### Research This library implements neural machine translation models from classical Tibetan to English, with experiments for other target languages as well. - Dataset preparation code, especially see `cai_garland/data/parallel_dataset_prep.py`. - Implementation of modified tokenizers and neural model architectures that builds on Hugging Face Transformers. - Training drivers to fine-tune models on tasks relevant to translation, such as translation itself or text segmentation. - Utility code for the above, including simple libraries of preprocessors and segmenters, as well as a translation utility class that implements the core loops of our contextual translation algorithms.

نیازمندی

مقدار	نام
>=1.12.1	torch
==4.23.1	transformers
>=0.1.96	sentencepiece
>=1.1.2	scikit-learn
>=1.2.0	hydra-core
>=1.2.0	hydra-colorlog
>=0.4.5	colorama

زبان مورد نیاز

مقدار	نام
>=3.6	Python

نحوه نصب

نصب پکیج whl compassionai-garland-0.2.1:

pip install compassionai-garland-0.2.1.whl

نصب پکیج tar.gz compassionai-garland-0.2.1:

pip install compassionai-garland-0.2.1.tar.gz