Comments (4)
xyan326
commented on June 14, 2024
2
Thanks! Able to see the example for the text. Wondering if there is a direct code and data available in the GitHub to directly be used and get the model trained and model prediction and result. Thanks!
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OctoberChang
commented on June 14, 2024
Hi xyan326, thanks for your interest in PECOS.
As of the current version (i.e., PECOS release v0.1.0), we have a example usage of text2text pipeline with XR-Linear of PECOS. You can find the input/output format in this [README].
Please let us know if this resolve your issue, thanks.
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OctoberChang
commented on June 14, 2024
Closing this issue as there's no further comment.
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Khalid-Usman
commented on June 14, 2024
Can i use the same model to text2Int ?
E.g. I downloaded AmazonCat-13K dataset from github. How can i preprocess it to make npz file so that i can run XR-LINEAR model ?
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Related Issues (20)
- Extreme multi-label classification - Text data - training set size for a class
- XLinearModel preprocessing and metrics HOT 2
- Xtransformer Predict - Threshold HOT 3
- Trying to use HybridIndexer for Label Indexing, run into issue where TrieWrapper has no attribute '_sorted' HOT 14
- Add FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search HOT 1
- Perform inference in C++/Java HOT 1
- XLinearModel (trained) when saving it generates an error OSError: [Errno 95] Operation not supported HOT 9
- ValueError: len(params.neg_mining_chain)=4 != 3 HOT 1
- Trying to understand Cluster chain shape using hybrid indexer HOT 5
- Hyperparameter optimization/tuning
- How do I adjust parameter when the recall of a particular label is zero In Classification Task?
- Indexer as hierarchicalkmeans cannot get the correct label partition
- FineTune on Custom Dataset
- Training process freezes without using GPUs
- Newlines in Tfidf vectorizer corpus cause runtime exceptions when loading a trained vectorizer HOT 1
- Some confusion in pecos.utils.smat_utils.binarized HOT 1
- Floating point exception (core dumped) problem
- Integrate Low-rank adaptation (LoRA)
- PEFA WSDM 24 HOT 1
- Cannot replicate the XR-Linear performance with TF-IDF features and a Fine-tune Embedding Model
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