Add support for dangvantuan/sentence-camembert-base

[Ya-shh]

French embedding model. #137

Canonical vector values: https://colab.research.google.com/drive/1IH390TDf7iDTgNbu-NhDSAfQSjpkuMN7

Onnx model:https://huggingface.co/yashvardhan7/sentence-camembert-base_onnx/tree/main

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[Ya-shh]

@Anush008 Only dangvantuan/sentence-camembert-base is being added

[Anush008]

Seems the values from the ONNX weights are off.
You can try the https://huggingface.co/Xenova/sentence-camembert-large source.

[Ya-shh]

Seems the values from the ONNX weights are off. You can try the https://huggingface.co/Xenova/sentence-camembert-large source.

Thanks 🚀@Anush008 !

[Ya-shh]

@Anush008 now you could run the checks

[Ya-shh]

@Anush008 I have quantised the model to onnx , interestingly this one has size of only 111 MB :https://huggingface.co/yashvardhan7/sentence-camembert-base_onnx/tree/main

[Ya-shh]

Seems the values from the ONNX weights are off. You can try the https://huggingface.co/Xenova/sentence-camembert-large source.

The actual model is sentence-camembert-base, so the canonical values of this must be different .Additionally this is not listen in the issues. #137

[Ya-shh]

@Anush008 it seems like tests are not able to recognise model_quantized.onnx .Instead they are looking for model.onnx or model_optimized.onnx. So I have updated the model to model.onnx .

[Ya-shh]

Resolved: https://github.com/qdrant/fastembed/actions/runs/8652925981/job/23743340931#step:5:69