Search Results for "transformers"
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10 projects for "transformers" with 2 filters applied:
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spacy-transformers
Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
...These techniques can be used to import knowledge from raw text into your pipeline, so that your models are able to generalize better from your annotated examples. You can convert word vectors from popular tools like FastText and Gensim, or you can load in any pre trained transformer model if you install spacy-transformers. You can also do your own language model pretraining via the spacy pre train command. You can even share your transformer or another contextual embedding model across multiple components, which can make long pipelines several times more efficient. To use transfer learning, you’ll need at least a few annotated examples for what you’re trying to predict. -
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PydanticAI
Agent Framework / shim to use Pydantic with LLMs
...PydanticAI is a Python Agent Framework designed to make it less painful to build production-grade applications with Generative AI. Built by the team behind Pydantic (the validation layer of the OpenAI SDK, the Anthropic SDK, LangChain, LlamaIndex, AutoGPT, Transformers, CrewAI, Instructor, and many more). -
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Vitest
Next generation testing framework powered by Vite
Next-generation testing framework powered by Vite. Reuse Vite's config and plugins - consistent across your app and tests. But Vitest is not required. Expect, snapshot, coverage, and more - migrating from Jest is straightforward. Out-of-box ESM, TypeScript and JSX support powered by esbuild. -
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Babel
The compiler for writing next generation JavaScript
Babel is a toolchain that helps you write code in the latest version of JavaScript. It converts ECMAScript 2015+ code into a backwards compatible version of JavaScript that can be run by older JavaScript engines. With Babel you can transform syntax, polyfill features that are missing in your target environment, transform source code and more! -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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Scalaz
Principled Functional Programming in Scala
Scalaz is a foundational functional-programming library for Scala that provides type classes, data types, and syntax to write pure, composable code. It implements classic abstractions such as Functor, Applicative, Monad, Monoid, Foldable, and Traverse, along with powerful transformers (ReaderT, StateT, WriterT, OptionT, and more) to structure effects. The library offers rich data structures—\/ (disjunction), Validation, NonEmptyList, IList, and Free—that help model errors, invariants, and interpretable programs. Its type class–oriented design lets you write generic algorithms over capabilities rather than concrete types, improving reuse and testability. ... -
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Backtrack Sampler
An easy-to-understand framework for LLM samplers
Backtrack Sampler is a framework designed for experimenting with custom sampling strategies for language models (LLMs), enabling the ability to rewind and revise generated tokens. It allows developers to create and test their own token generation strategies by providing a base structure for manipulating logits and probabilities, making it a flexible tool for those interested in fine-tuning the behavior of LLMs. -
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RxDart
The Reactive Extensions for Dart
...The library aims to stay idiomatic with Dart Streams while giving developers the ergonomic power long associated with the ReactiveX family. In practice, it encourages clear separation between data producers, transformers, and consumers. -
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Transformers4Rec
Transformers4Rec is a flexible and efficient library
...The library works as a bridge between natural language processing (NLP) and recommender systems (RecSys) by integrating with one of the most popular NLP frameworks, Hugging Face Transformers (HF). Transformers4Rec makes state-of-the-art transformer architectures available for RecSys researchers and industry practitioners. Traditional recommendation algorithms usually ignore the temporal dynamics and the sequence of interactions when trying to model user behavior. Generally, the next user interaction is related to the sequence of the user's previous choices. ... -
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Work Case Toolkit 0.4 beta 1
Support variant based Java program execution, adapted to support MDE.
...The project was originally planned in 2005 to support Model Driven Architecture OMG approach, focusing specially on the management of architectural changes and models transformers. The main goal of the program is to design transformation chains based on features diagram variants. The model transformers orchestration is obtained by using Features Diagrams and Transformation Diagrams (a feature that must be re-implemented to support of a Java drawing API). Any help is welcome. Given that we have some good results in running dynamic transformation chains, we decided to extend the tool to support another goal: a Java API to support variant based program's execution. ... -
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The Cocoon Adaption Kit is a NetKernel module which enables the use of Cocoon Components (Generators, Transformers, Serializer, Actions) from within the NetKernel XML Application Server.
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