geniusrise-huggingface


Namegeniusrise-huggingface JSON
Version 0.4.9 PyPI version JSON
download
home_pagehttps://github.com/geniusrise/geniusrise-huggingface
SummaryHuggingface bolts for geniusrise
upload_time2023-09-23 10:18:06
maintainer
docs_urlNone
authorixaxaar
requires_python>=3.10
license
keywords mlops llm geniusrise machine learning data processing
VCS
bugtrack_url
requirements absl-py accelerate aiohttp aiosignal annotated-types ansicolors argparse-color-formatter argparse-manpage asttokens async-timeout attrs backcall black bleach boto3 botocore build cachetools certifi cffi charset-normalizer click cmake colorama colorlog coverage cryptography datasets decorator dill direnv docutils emoji env-file et-xmlfile evaluate exceptiongroup executing filelock flake8 frozenlist fsspec geniusrise google-auth GPUtil huggingface-hub idna importlib-metadata iniconfig ipython jaraco.classes jedi jeepney Jinja2 jmespath joblib jsonpickle kafka-python keyring kubernetes lit lxml markdown-it-py MarkupSafe matplotlib-inline mccabe mdurl more-itertools mpmath multidict multiprocess mypy mypy-extensions networkx nltk numpy nvidia-cublas-cu11 nvidia-cuda-cupti-cu11 nvidia-cuda-nvrtc-cu11 nvidia-cuda-runtime-cu11 nvidia-cudnn-cu11 nvidia-cufft-cu11 nvidia-curand-cu11 nvidia-cusolver-cu11 nvidia-cusparse-cu11 nvidia-nccl-cu11 nvidia-nvtx-cu11 oauthlib openpyxl packaging pandas parso pathspec pexpect pickleshare pkginfo platformdirs pluggy portalocker prettytable prometheus-client prompt-toolkit psutil psycopg2 ptyprocess pure-eval pyarrow pyasn1 pyasn1-modules pycodestyle pycparser pydantic pydantic_core pyflakes Pygments pyproject_hooks pytest pytest-cov python-dateutil pytz PyYAML readme-renderer redis regex requests requests-oauthlib requests-toolbelt responses retrying rfc3986 rich rich-argparse rouge-score rsa s3transfer sacrebleu sacremoses safetensors scikit-learn scipy SecretStorage sentencepiece shortuuid six stack-data sympy tabulate termcolor threadpoolctl tokenizers tomli torch tqdm traitlets transformers triton twine types-PyYAML typing_extensions tzdata urllib3 values wcwidth webencodings websocket-client xxhash yarl zipp
Travis-CI No Travis.
coveralls test coverage No coveralls.
            <h1 align="center">
  <img src="./assets/logo_with_text.png" alt=logo" width="900"/>
</h1>
<h2 align="center">
  <a style="color:#f34960" href="https://docs.geniusrise.ai">Documentation</a>
</h2>

<p align="center">
  <img src="https://img.shields.io/github/actions/workflow/status/geniusrise/geniusrise-huggingface/pytest.yml?branch=master" alt="GitHub Workflow Status"/>
  <img src="https://codecov.io/gh/geniusrise/geniusrise-huggingface/branch/main/graph/badge.svg?token=0b359b3a-f29c-4966-9661-a79386b3450d" alt="Codecov"/>
  <img src="https://img.shields.io/github/license/geniusrise/geniusrise-huggingface" alt="Codecov"/>
  <img src="https://img.shields.io/github/issues/geniusrise/geniusrise-huggingface" alt="Codecov"/>
</p>

---

## <span style="color:#e667aa">About</span>

<span style="color:#e4e48c">Geniusrise</span> is a modular, loosely-coupled
AgentOps / MLOps framework designed for the era of Large Language Models,
offering flexibility, inclusivity, and standardization in designing networks of
AI agents.

It seamlessly integrates tasks, state management, data handling, and model
versioning, all while supporting diverse infrastructures and user expertise
levels. With its plug-and-play architecture,
<span style="color:#e4e48c">Geniusrise</span> empowers teams to build, share,
and deploy AI agent workflows across various platforms.

## <span style="color:#e667aa">Huggingface Bolts</span>

This is a collection of generic streaming and (micro) batch bolts interfacing
with the huggingface ecosystem.

Includes:

| No. | Name                                                  | Description                                    | Input Type | Output Type |
| --- | ----------------------------------------------------- | ---------------------------------------------- | ---------- | ----------- |
| 1   | [Text Classification](#text-classification)           | Fine-tuning for text classification tasks      | Batch      | Batch       |
| 2   | [Instruction Tuning](#instruction-tuning)             | Fine-tuning for instruction tuning tasks       | Batch      | Batch       |
| 3   | [Commonsense Reasoning](#commonsense-reasoning)       | Fine-tuning for commonsense reasoning tasks    | Batch      | Batch       |
| 4   | [Language Modeling](#language-modeling)               | Fine-tuning for language modeling tasks        | Batch      | Batch       |
| 5   | [Named Entity Recognition](#named-entity-recognition) | Fine-tuning for named entity recognition tasks | Batch      | Batch       |
| 6   | [Question Answering](#question-answering)             | Fine-tuning for question answering tasks       | Batch      | Batch       |
| 7   | [Sentiment Analysis](#sentiment-analysis)             | Fine-tuning for sentiment analysis tasks       | Batch      | Batch       |
| 8   | [Summarization](#summarization)                       | Fine-tuning for summarization tasks            | Batch      | Batch       |
| 9   | [Translation](#translation)                           | Fine-tuning for translation tasks              | Batch      | Batch       |

            

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