Row 4042

Row ID: 4042 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 4042 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I have been searching for over two weeks trying to find a coherent tutorial for Pytorch that explains using Transformers for NLP. The Pytorch webset offers only a single tutorial that is incomplete, ending before even explaining a decoder or showing how to use the model to generate text. Then there are numerous tutorial on the internet that use Randint to generate random sequece data, who on earth uses random-data datasets? But literally those are the only two variations I can find. Why would such a SOTA algorithm as Transformers be limited to just two examples with every other example is just a duplicate of the other? Where are the real-world examples??

FieldValue
text I have been searching for over two weeks trying to find a coherent tutorial for Pytorch that explains using Transformers for NLP. The Pytorch webset offers only a single tutorial that is incomplete, ending before even explaining a decoder or showing how to use the model to generate text. Then there are numerous tutorial on the internet that use Randint to generate random sequece data, who on earth uses random-data datasets? But literally those are the only two variations I can find. Why would su…
label r/pytorch
dataType post
communityName r/pytorch
datetime 2024-04-01
username_encoded Z0FBQUFBQm5LakwxUjhfZGZTMS12eEpOWWNIS3VqOVc0RDVHc2xwUXpxT3Y1NmtkN1VOTGZ2OEh4QXF2SEtWbDBuamNzOVRWUl9WcDQtSnFXbWdmcUlDcjF3Q0ZjOTdwSC15UUZlZWhCYVptRDY3VnN1QndqaVk9
url_encoded Z0FBQUFBQm5Lak9GZmNfdlhvQzhZTWRYeWY4RjVsR1J6Wmg5aVNjMW54bTlzZHZmNkJ2a29IRDVLTkRfYW9ET0p1YkFrOXpxaGRxTVJva0RGT2VvUUlrWmtTcV9NRFNwaXNoRGl4VlIwWjBXTG5kVnpHYkVpeUJGS1MzUTNnRENNNjdfLTlsZTk0cDFSRW00QVExU29KcFlhUjFXT0ZIaE02bGN2LTdLWHgxYzdOTWMxSFY2anozVGRtV2FaMGFHYTZJandqMnFCaXk3NXRWdGJlWWRTb3RRWWU4SzhXcGhLUT09

Raw Record

{
  "text": "I have been searching for over two weeks trying to find a coherent tutorial for Pytorch that explains using Transformers for NLP. The Pytorch webset offers only a single tutorial that is incomplete, ending before even explaining a decoder or showing how to use the model to generate text. Then there are numerous tutorial on the internet that use Randint to generate random sequece data, who on earth uses random-data datasets? But literally those are the only two variations I can find. Why would such a SOTA algorithm as Transformers be limited to just two examples with every other example is just a duplicate of the other? Where are the real-world examples??",
  "label": "r/pytorch",
  "dataType": "post",
  "communityName": "r/pytorch",
  "datetime": "2024-04-01",
  "username_encoded": "Z0FBQUFBQm5LakwxUjhfZGZTMS12eEpOWWNIS3VqOVc0RDVHc2xwUXpxT3Y1NmtkN1VOTGZ2OEh4QXF2SEtWbDBuamNzOVRWUl9WcDQtSnFXbWdmcUlDcjF3Q0ZjOTdwSC15UUZlZWhCYVptRDY3VnN1QndqaVk9",
  "url_encoded": "Z0FBQUFBQm5Lak9GZmNfdlhvQzhZTWRYeWY4RjVsR1J6Wmg5aVNjMW54bTlzZHZmNkJ2a29IRDVLTkRfYW9ET0p1YkFrOXpxaGRxTVJva0RGT2VvUUlrWmtTcV9NRFNwaXNoRGl4VlIwWjBXTG5kVnpHYkVpeUJGS1MzUTNnRENNNjdfLTlsZTk0cDFSRW00QVExU29KcFlhUjFXT0ZIaE02bGN2LTdLWHgxYzdOTWMxSFY2anozVGRtV2FaMGFHYTZJandqMnFCaXk3NXRWdGJlWWRTb3RRWWU4SzhXcGhLUT09"
}

Entry Information