Merge pull request #237 from matchms/update-link-to-latest-model

update zenodo link to latest model

Author: niekdejonge

CHANGELOG.md

@@ -5,7 +5,7 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
-## Unreleased
+## [2.1.0] - 2024-10-07
 
 ### fixed
 - A bug of spectrum pair sampling during training was fixed. Due to this bug for each spectrum only one unique spectrum was sampled, even if multiple spectra were available. The bug was introduced with MS2Deepscore 2.0
@@ -15,6 +15,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Changed
 - dense layers are now build with leaky ReLU instead of ReLU [#222](https://github.com/matchms/ms2deepscore/pull/222).
+- The zenodo link to the latest model has been updated to a model trained using the new algorithm.
 
 ### Added
 - Missing code documentation [#222](https://github.com/matchms/ms2deepscore/pull/222).

README.md

@@ -73,7 +73,7 @@ There are two different ways to use MS2DeepScore to compute spectral similaritie
 The second way is much simpler: Use a model that was pretrained on a large dataset. 
 
 ## 1) Use a pretrained model to compute spectral similarities
-We provide a model which was trained on > 200,000 MS/MS spectra from [GNPS](https://gnps.ucsd.edu/), which can simply be downloaded [from zenodo here](https://zenodo.org/records/10814307). Only the ms2deepscore_model.pt is needed. 
+We provide a model which was trained on > 200,000 MS/MS spectra from [GNPS](https://gnps.ucsd.edu/), which can simply be downloaded [from zenodo here](https://zenodo.org/records/13897744). Only the ms2deepscore_model.pt is needed. 
 To then compute the similarities between spectra of your choice you can run something like:
 ```python
 from matchms import calculate_scores

ms2deepscore/__version__.py

@@ -1 +1 @@
-__version__ = '2.0.0'
+__version__ = '2.1.0'