Add support for multilingual-e5-small: Fixes#123

[Ya-shh]

canonical vector values: https://colab.research.google.com/drive/1GEGTzXB7ccakTOTQcRYL3JmInf-E3Q54#scrollTo=spJiCcNWs6-O.

onnx model: https://huggingface.co/intfloat/multilingual-e5-small/tree/main/onnx

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[Ya-shh]

@Anush008 could you please review this ?

[Ya-shh]

@Anush008 The file fastembed/tests/test_text_onnx_embeddings.py is indicating a need for different canonical vector values. I think we need to adjust that test, as we encountered a similar issue previously with the e5-large-instruct model (#181). When I updated those values, all tests passed. Here's the logged error from that instance:
E AssertionError: intfloat/multilingual-e5-small
E assert False
E + where False = <function allclose at 0x101d59d30>(array([ 0.04931236, 0.02415175, -0.0384715 , -0.08884481, 0.08710264],\n dtype=float32), array([ 0.03131689, 0.03093922, -0.03511665, -0.06727391, 0.08508426]), atol=0.001)
E + where <function allclose at 0x101d59d30> = np.allclose

As this model is already converted to onnx on HF:https://huggingface.co/intfloat/multilingual-e5-small/tree/main/onnx so the canonical vector values of this model can't be incorrect

[Anush008]

The CI logs a different issue though.
https://github.com/qdrant/fastembed/actions/runs/8590817987/job/23538844967#step:5:2066

Due to

fastembed/fastembed/text/e5_onnx_embedding.py

Lines 45 to 50 in f340a73

	def _preprocess_onnx_input(self, onnx_input: Dict[str, np.ndarray]) -> Dict[str, np.ndarray]:
	"""
	Preprocess the onnx input.
	"""
	onnx_input.pop("token_type_ids", None)
	return onnx_input

[Ya-shh]

Yes, I agree with you. Interestingly, after updating the atol values, all the tests passed successfully.:platform darwin Python 3.10.10, pytest-8.1.1, pluggy-1.4.0
rootdir: /Users/yash/PycharmProjects/e5-instruct
plugins: anyio-4.3.0, asyncio-0.23.6
asyncio: mode=strict
collected 8 items

fastembed/tests/test_sparse_embeddings.py ... [ 37%]
fastembed/tests/test_text_onnx_embeddings.py ..... [100%]

[Ya-shh]

I think the issue might be due to the atol values in the test.