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hyperonym / basaran

Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models.
MIT License
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build(deps): update transformers[sentencepiece] requirement from ~=4.33.0 to ~=4.33.1 #255

Closed dependabot[bot] closed 10 months ago

dependabot[bot] commented 10 months ago

Updates the requirements on transformers[sentencepiece] to permit the latest version.

Release notes

Sourced from transformers[sentencepiece]'s releases.

Falcon, Code Llama, ViTDet, DINO v2, VITS

Falcon

Falcon is a class of causal decoder-only models built by TII. The largest Falcon checkpoints have been trained on >=1T tokens of text, with a particular emphasis on the RefinedWeb corpus. They are made available under the Apache 2.0 license.

Falcon’s architecture is modern and optimized for inference, with multi-query attention and support for efficient attention variants like FlashAttention. Both ‘base’ models trained only as causal language models as well as ‘instruct’ models that have received further fine-tuning are available.

Code Llama

Code Llama, is a family of large language models for code based on Llama 2, providing state-of-the-art performance among open models, infilling capabilities, support for large input contexts, and zero-shot instruction following ability for programming tasks.

ViTDet

ViTDet reuses the ViT model architecture, adapted to object detection.

DINO v2

DINO v2 is the next iteration of the DINO model. It is added as a backbone class, allowing it to be re-used in downstream models.

VITS

VITS (Variational Inference with adversarial learning for end-to-end Text-to-Speech) is an end-to-end speech synthesis model that predicts a speech waveform conditional on an input text sequence. It is a conditional variational autoencoder (VAE) comprised of a posterior encoder, decoder, and conditional prior.

Breaking changes:

  • 🚨🚨🚨 [Refactor] Move third-party related utility files into integrations/ folder 🚨🚨🚨 by @​younesbelkada in #25599

Moves all third party libs (outside HF ecosystem) related utility files inside integrations/ instead of having them in transformers directly.

In order to get the previous usage you should be changing your call to the following:

- from transformers.deepspeed import HfDeepSpeedConfig
+ from transformers.integrations import HfDeepSpeedConfig

Bugfixes and improvements

... (truncated)

Commits


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codecov-commenter commented 10 months ago

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