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Hi,
I wanted to ask a question: does pgvector currently support working with late interaction text embeddings, like the ones that come from a ColBERT model for example? This is an example of a vect…
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The following code,
```python
paligemma_model_name = "google/paligemma-3b-mix-448"
model = ColPali.from_pretrained(paligemma_model_name, torch_dtype=dtype).eval()
```
Produces the warning, …
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I am trying to run some evaluation but with the example scripts `scripts/infer/run_inference_with_python.py` I get different scores every time I run it.
My current hypothesis is that the weights of…
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I was using the `process_queries` method and I realized that the processor uses left padding. As a result the `batch_query["input_ids"] = batch_query["input_ids"][..., processor.image_seq_length :]` d…
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is it trainable for other languages ?
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Hi, thanks for open-sourcing the awesome work! Could you please also release the training data (described in Sec 4.2)? I'm interested in tweaking settings during training, but it would be hard to meas…
j-min updated
2 months ago
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Hi guys,
Are there plans to release the training code on how the `custom_text_proj.bias` and `custom_text_proj.weight` parameter values were obtained or are they some hard-coded arbitrary constants…