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Bump sentence-transformers from 2.2.2 to 2.3.1 #48

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@dependabot dependabot bot commented on behalf of github Feb 5, 2024

Bumps sentence-transformers from 2.2.2 to 2.3.1.

Release notes

Sourced from sentence-transformers's releases.

v2.3.1 - Patch for local models with Normalize modules

This releases patches a niche bug when loading a Sentence Transformer model which:

  1. is local
  2. uses a Normalize module as specified in modules.json
  3. does not contain the directory specified in the model configuration

This only occurs when a model with Normalize is downloaded from the Hugging Face hub and then later used locally. See #2458 and #2459 for more details.

Release highlights

Full Changelog: UKPLab/sentence-transformers@v2.3.0...v2.3.1

v2.3.0 - Bug fixes, improved model loading & Cached MNRL

This release focuses on various bug fixes & improvements to keep up with adjacent works like transformers and huggingface_hub. These are the key changes in the release:

Pushing models to the Hugging Face Hub (#2376)

Prior to Sentence Transformers v2.3.0, saving models to the Hugging Face Hub may have resulted in various errors depending on the versions of the dependencies. Sentence Transformers v2.3.0 introduces a refactor to save_to_hub to resolve these issues.

from sentence_transformers import SentenceTransformer
model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
...
model.save_to_hub("tomaarsen/all-MiniLM-L6-v2-quora")

pytorch_model.bin: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████| 90.9M/90.9M [00:06<00:00, 13.7MB/s]
Upload 1 LFS files: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:07<00:00,  7.11s/it]

Model Loading

Efficient model loading (#2345)

Recently, transformers has shifted towards using safetensors files as their primary model file formats. Additionally, various other file formats are commonly used, such as PyTorch (pytorch_model.bin), Rust (rust_model.ot), Tensorflow (tf_model.h5) and ONNX (model.onnx).

Prior to Sentence Transformers v2.3.0, almost all files of a repository would be downloaded, even if theye are not strictly required. Since v2.3.0, only the strictly required files will be downloaded. For example, when loading sentence-transformers/all-MiniLM-L6-v2 which has its model weights in three formats (pytorch_model.bin, rust_model.ot, tf_model.h5), only pytorch_model.bin will be downloaded. Additionally, when downloading intfloat/multilingual-e5-small with two formats (model.safetensors, pytorch_model.bin), only model.safetensors will be downloaded.

from sentence_transformers import SentenceTransformer
model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")

Downloading modules.json: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████| 349/349 [00:00<?, ?B/s]
Downloading (…)ce_transformers.json: 100%|███████████████████████████████████████████████████████████████████████████████████████████| 116/116 [00:00<?, ?B/s]
Downloading README.md: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████| 10.6k/10.6k [00:00<?, ?B/s]
Downloading (…)nce_bert_config.json: 100%|█████████████████████████████████████████████████████████████████████████████████████████| 53.0/53.0 [00:00<?, ?B/s]
Downloading config.json: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████| 612/612 [00:00<?, ?B/s]
</tr></table> 

... (truncated)

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Bumps [sentence-transformers](https://github.com/UKPLab/sentence-transformers) from 2.2.2 to 2.3.1.
- [Release notes](https://github.com/UKPLab/sentence-transformers/releases)
- [Commits](UKPLab/sentence-transformers@v2.2.2...v2.3.1)

---
updated-dependencies:
- dependency-name: sentence-transformers
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Feb 5, 2024
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