Cherche

Add method `.to_csr()` and `.to_csc()` to TfIdf in order to speed-up the computation with large batch.

Disable tqdm bar of retrievers on demand using `tqdm_bar` parameter of `__call__` methods and `add` methods.

Speed up tf-idf by transposing the sparse matrix of documents in the `retriever.add` method instead of transposing the sparse matrix when querying.

Requirements update of Numpy and Scikit-learn dependencies version.

Excited to announce the release of Cherche 2.0, a comprehensive open-source search engine toolkit for Python. This new version comes with a host of new features and improvements, including:

- Batch-computation
- Optimization
- Progress bars
- Cross-Encoders compatibility
- Focus on retrievers, rankers and indexes compatible with Python.
- Requirements are lighter modular

Removed the dependency with grpcio that can cause problems during installation.