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Hello, I tried finetuning Image-Text Vectorizer CLIP model using above approach. But I get stuck with the error -
](https://github.com/user-attachments/assets/2c46995c-ccce-4dd5-8816-…
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Couldn't something like this be absorbed into the module?
http://stackoverflow.com/a/39114555/4088570
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|--------------------|----|
| Bugzilla Link | [PR48155](https://bugs.llvm.org/show_bug.cgi?id=48155) |
| Status | NEW |
| Importance | P enhancemen…
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|--------------------|----|
| Bugzilla Link | [PR45989](https://bugs.llvm.org/show_bug.cgi?id=45989) |
| Status | NEW |
| Importance | P enhancemen…
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|--------------------|----|
| Bugzilla Link | [PR41289](https://bugs.llvm.org/show_bug.cgi?id=41289) |
| Status | NEW |
| Importance | P enhancemen…
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It's a good job.
When I read the code, I find some questions as follows:
(1)
self.initial_vectorizer = CountVectorizer(ngram_range=(1, 2), min_df = 3 / len(input_text), max_df=.4)
need to change 3 t…
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| --- | --- |
| Bugzilla Link | [41289](https://llvm.org/bz41289) |
| Version | trunk |
| OS | Linux |
| Attachments | [.bc file of the source code](https://user-images.githubusercontent.com/9…
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**Is your feature request related to a problem? Please describe.**
Now that we have a distributed hashing vectorizer we should also have a distributed count vectorizer. This is especially useful fo…
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## Description
When using the [Pecos Tfidf Vectorizer](https://github.com/amzn/pecos/blob/mainline/pecos/utils/featurization/text/vectorizers.py), if you train it using a corpus which includes newlin…