# hellohaptik/multi-task-NLP

<https://repo.masters-masters.com/en/repos/hellohaptik/multi-task-NLP>

[Home](https://repo.masters-masters.com/en) › [hellohaptik](https://repo.masters-masters.com/en/owners/hellohaptik) › [multi-task-NLP](https://repo.masters-masters.com/en/repos/hellohaptik/multi-task-NLP)

hellohaptik/multi-task-NLP has 375 stars on GitHub. Its RepoMasters card: Alpha tier. multi\_task\_NLP is a utility toolkit enabling NLP developers to easily…

| Field | Value |
| --- | --- |
| Owner | [hellohaptik](https://repo.masters-masters.com/en/owners/hellohaptik) |
| Stars | 375 |
| Forks | 51 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2020 |
| Topics | pytorch, multitask-learning, sentence-classification, sequence-labeling, entailment, ranking, intent-classification, named-entity-recognition, machine-comprehension, context-awareness |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [hellohaptik/multi-task-NLP](https://github.com/hellohaptik/multi-task-NLP) |

## Repository

multi\_task\_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
