Add baseline models for Russian

[artemsnegirev]

This PR adds four models for evaluation on the Russian part of MTEB. There are also results for 22 tasks (table below). From discussion #705.

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Attaching a table of results to check:

	sbert_large_mt_nlu_ru	sbert_large_nlu_ru	rubert-tiny	rubert-tiny2
CEDRClassification	36.81	35.84	37.39	36.87
GeoreviewClassification	39.67	39.97	33.45	39.64
GeoreviewClusteringP2P	58.45	59.02	34.4	44.18
HeadlineClassification	77.19	79.26	57.65	74.19
InappropriatenessClassification	64.64	62.52	54.5	58.57
KinopoiskClassification	50.33	49.51	41.36	49.06
MassiveIntentClassification	61.42	61.09	50.1	50.83
MassiveScenarioClassification	68.13	67.6	52.15	59.15
RiaNewsRetrieval	21.4	11.11	0.79	13.92
RuBQReranking	56.13	46.81	35.44	46.09
RuBQRetrieval	29.8	12.45	3.24	10.87
RUParaPhraserSTS	65.17	62.06	53.41	65.14
RuReviewsClassification	58.29	58.27	49.56	56.99
RuSciBenchGRNTIClassification	54.19	53.9	35.71	45.63
RuSciBenchGRNTIClusteringP2P	52.2	50.4	29.89	41.41
RuSciBenchOECDClassification	43.8	43.04	26.51	35.48
RuSciBenchOECDClusteringP2P	47.29	46.41	27.98	38.09
RuSTSBenchmarkSTS	71.22	58.82	58.16	69.43
SensitiveTopicsClassification	28.47	27.97	18.54	22.02
STS22	56.82	50.75	47.88	50.23
TERRa	51.97	50.17	52.85	51.87
XNLI	64.28	59.82	61.49	67.41

Checklist

• [x] Run tests locally to make sure nothing is broken using make test.
• [x] Run the formatter to format the code using make lint.

Adding a model checklist

• [x] I have filled out the ModelMeta object to the extent possible
• [x] I have ensured that my model can be loaded using
  • [x] mteb.get_model(model_name, revision_id) and
  • [x] mteb.get_model_meta(model_name, revision_id)
• [x] I have tested the implementation works on a representative set of tasks.