Row 6327

Row ID: 6327 | Dataset Entry | Axioma AXP Content Repository

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I haven't done nlp for a while and now am greeted with this warning when importing torchtext:

>/!\\ IMPORTANT WARNING ABOUT TORCHTEXT STATUS /!\\ Torchtext is deprecated and the last released version will be 0.18 (this one). You can silence this warning by calling the following at the beginnign of your scripts: \`import torchtext; torchtext.disable\_torchtext\_deprecation\_warning()\` warnings.warn(torchtext.\_TORCHTEXT\_DEPRECATION\_MSG)

Torchtext has always been a bit special, so as expected googling about this I didn't find any coherent information on the deprecation or what to use instead. I could use tensorflow's utils but that seems kind of awkward. Any suggestions?

FieldValue
text I haven't done nlp for a while and now am greeted with this warning when importing torchtext: >/!\\ IMPORTANT WARNING ABOUT TORCHTEXT STATUS /!\\ Torchtext is deprecated and the last released version will be 0.18 (this one). You can silence this warning by calling the following at the beginnign of your scripts: \`import torchtext; torchtext.disable\_torchtext\_deprecation\_warning()\` warnings.warn(torchtext.\_TORCHTEXT\_DEPRECATION\_MSG) Torchtext has always been a bit special, so as expec…
label r/deeplearning
dataType post
communityName r/deeplearning
datetime 2024-05-09
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Raw Record

{
  "text": "I haven't done nlp for a while and now am greeted with this warning when importing torchtext:\n\n>/!\\\\ IMPORTANT WARNING ABOUT TORCHTEXT STATUS /!\\\\  Torchtext is deprecated and the last released version will be 0.18 (this one). You can silence this warning by calling the following at the beginnign of your scripts: \\`import torchtext; torchtext.disable\\_torchtext\\_deprecation\\_warning()\\`   warnings.warn(torchtext.\\_TORCHTEXT\\_DEPRECATION\\_MSG)\n\nTorchtext has always been a bit special, so as expected googling about this I didn't find any coherent information on the deprecation or what to use instead. I could use tensorflow's utils but that seems kind of awkward. Any suggestions?",
  "label": "r/deeplearning",
  "dataType": "post",
  "communityName": "r/deeplearning",
  "datetime": "2024-05-09",
  "username_encoded": "Z0FBQUFBQm5LakwyRFJZVFdTTWVlMFhUVDdyS0VHc1YtMVp4eHZDQVNRSVJZSmtidEtRMzdYcjFXWDRlNlF6ZVNaTHZSNlZIYndrQXhWbDQyQWxINXRfZ1BidFF1aDJvTlJxdzRQSUVVTHZ2Nm5VbjFTVnFNMXc9",
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}
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