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๐Ÿค— Fast, efficient, open-access datasets and evaluation metrics in PyTorch, TensorFlow, NumPy and Pandas

Home Page: https://huggingface.co/docs/datasets

License: Apache License 2.0

Python 95.34% Jupyter Notebook 4.41% Makefile 0.01% Shell 0.22% Smalltalk 0.01%

datasets's Introduction

Hi

I'm Vladimir Gurevich, ML/NLP Engineer (IR tasks, such as Semantic Search, Information Extraction tasks, such as NER, Relation Extraction, etc.).

I am also interested in Speech Recognition and in LLMs.

Works:

  • jupyter-notebook-viewer - Jupyter Notebook Viewer for local files *.ipynb in browser without Jupyter Notebook installation.
  • wav2vec2-hebrew - package for speech recognition in Hebrew language using wav2vec2 models that were trained on Hebrew datasets (check out the datasets below).
  • distiller - distillation TextClassification and TokenClassification models using transformers library with different distillation methods.
  • spacy-trankit - spacy wrapper for Trankit (NLP pipeline for tokenization+dependency parsing+lemmatization, etc.)

Models:

Speech Recognition:

Datasets:

Contacts

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datasets's People

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