gaphex

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

gaphex

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

gaphex

gaphex

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gaphex

We couldn’t find that file to show.

gaphex

{
  "embeddings": [
    {
      "tensorName": "intents",
      "tensorShape": [
        5676,
        768
      ],
      "tensorPath": "https://gist.githubusercontent.com/gaphex/87e3ff7c20caec9301d331092c70f6d8/raw/6c8aa3b3c15a569b24b48b8bb7e003053124c962/embs.tsv",
      "metadataPath": "https://gist.githubusercontent.com/gaphex/a967187517ea14857d9b2f52d987405e/raw/3892416710db9b7aa91f9445287b64d5c0c74e0c/meta.tsv"

gaphex

We couldn’t find that file to show.

gaphex

class SBERT:
    def __init__(self, config):
        self.loss = 0
        self.metrics = []
        self.inputs = []
        self.config = config
        self.build()
        
    def build(self):
        

gaphex

{
  "embeddings": [
    {
      "tensorName": "intent embeddings",
      "tensorShape": [
        572,
        1024
      ],
      "tensorPath": "https://gist.githubusercontent.com/gaphex/aa0f25bca475b43007ca3c0d7cbf0591/raw/8c4a63de851e5cfbd9a5c3d2f3a3811ca287c274/intent_embeddings.tsv",
      "metadataPath": "https://gist.githubusercontent.com/gaphex/0719ac81c7d7540daaed2ff5169af7aa/raw/808140457f555a3186b5c0b6915f7fc43325a304/intent_metadata.tsv"

gaphex