chore: release 079

[bwanglzu]

Draft release note:

Release Note Finetuner 0.7.9

This release covers Finetuner version 0.7.9, including dependencies finetuner-core 0.13.9.

This release contains 1 new features and 1 refactoring.

🆕 Features

Add jina embeddings suite. (#757)

We have made contributions to the open source community by releasing three pre-trained embedding models:

1. jima-embedding-s-en-v1: 35 million parameter compat embedding model.
2. jina-embedding-b-en-v1: 110 million parameter standard sized embedding model.
3. jina-embedding-l-en-v1: 330 million parameter large embeddding model.

All three embedding models have been trained using Jina AI's Linnaeus-Clean dataset. This dataset consists of 380 million pairs of sentences, which include both query-document pairs. These pairs were obtained from various domains and were carefully selected through a thorough cleaning process. The Linnaeus-Full dataset, from which the Linnaeus-Clean dataset is derived, originally contained 1.6 billion sentence pairs.

If you wish to utilize these embeddings with Finetuner (Apache 2.0), please follow the instructions below:

!pip install finetuner
import finetuner

model = finetuner.build_model('jinaai/jina-embedding-s-en-v1')
embeddings = finetuner.encode(
    model=model,
    data=['how is the weather today', 'What is the current weather like today?']
)
print(finetuner.cos_sim(embeddings[0], embeddings[1]))

⚙ Refactoring

Change installation behavior. (#757)

With the launch of Finetuner 0.7.9, installing it using pip install finetuner will automatically include the necessary torch-related dependencies. This enables Finetuner to function as an optimal provider of embedding models. If you intend to fine-tune an embedding model, please ensure that you install Finetuner with the additional dependencies by using the command pip install "finetuner[full]".

🤟 Contributors

We would like to thank all contributors to this release:

• Wang Bo (@bwanglzu)
• Louis Milliken (@LMMilliken)
• Michael Günther (@guenthermi)
• George Mastrapas (@gmastrapas)
• Scott Martens (@scott-martens)
• Jonathan Geuter (@j-geuter)

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- [ ] This PR references an open issue
- [ ] I have added a line about this change to CHANGELOG

[gmastrapas]

version number in setup?

[bwanglzu]

@gmastrapas it has been changed in the last PR ..

[bwanglzu]

wil trigger the release once all model public