Transformers
PyTorch
multilingual
youtube
video
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@@ -27,7 +27,7 @@ This model is custom PyTorch model for predicting whether a pair of YouTube vide
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  For pretrained cross-encoders, [mmarco-mMiniLMv2-L12-H384-v1](https://huggingface.co/cross-encoder/mmarco-mMiniLMv2-L12-H384-v1) was used to be further trained as part of this model.
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- Note: sometimes YouTube videos lack transcripts so actually there are two different versions of this model trained: a model with trascripts (WT = with transcripts) and a model without transcripts (NT = no transcripts). This model is with transcripts and the model without transcripts is avalaible [here](https://huggingface.co/mozilla-foundation/youtube_video_similarity_model_nt).
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  ## Intended uses & limitations
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  For pretrained cross-encoders, [mmarco-mMiniLMv2-L12-H384-v1](https://huggingface.co/cross-encoder/mmarco-mMiniLMv2-L12-H384-v1) was used to be further trained as part of this model.
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+ **Note**: sometimes YouTube videos lack transcripts so actually there are two different versions of this model trained: a model with trascripts (WT = with transcripts) and a model without transcripts (NT = no transcripts). This model is with transcripts and the model without transcripts is available [here](https://huggingface.co/mozilla-foundation/youtube_video_similarity_model_nt).
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  ## Intended uses & limitations
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