Comments (1)
No, it's not working after Seq2SeqSharp migrated to .NET core, because the library to render graphics doesn't support in .NET core.
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Related Issues (20)
- Didn't save the model? HOT 7
- Error: C# 8.0 language feature HOT 1
- sentencepiece.dll problem in the API HOT 2
- SeqClassification Validation HOT 16
- Exception: 'The weight '.LayerNorm' has been released, you cannot access it.' HOT 10
- CPU_MKL Error converting value "CPU_MKL" to type 'Seq2SeqSharp.ProcessorTypeEnums HOT 6
- sqc.m_srcEmbedding_p.GetNetworkOnDevice(k).GetWeightAt() HOT 1
- GPTconsole HOT 4
- Target vocabulary size fixed to 45000 HOT 5
- Contextual embeddings HOT 22
- Train with general sequences of symbols HOT 2
- Moment of updating weights HOT 4
- Issues to get started with "Seq2SeqClassificationConsole" HOT 33
- Matrix initialization method HOT 4
- No requirement.txt in this repo HOT 2
- Sudden high increase in memory consumption while training a seq2seq model and validation happens HOT 11
- Setting FocalLossGamma = 2 causes weight corruption in the beginning of the seq2seq model training
- The checkpoint to save the model regularly should not depend on validation HOT 1
- Serialization of Seq2seq model is wrong
- SeqLabel model backward compatibility is broken by latest update HOT 3
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