Automated tutorials push

Author: pytorchbot

_downloads/0184bded18578d24a48fdfad2c701b09/polynomial_autograd.ipynb

@@ -114,7 +114,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.10.15"
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_downloads/032d653a4f5a9c1ec32b9fc7c989ffe1/seq2seq_translation_tutorial.ipynb

@@ -22,12 +22,19 @@
     "\n",
     "**Author**: [Sean Robertson](https://github.com/spro)\n",
     "\n",
-    "This is the third and final tutorial on doing \\\"NLP From Scratch\\\",\n",
+    "This tutorials is part of a three-part series:\n",
+    "\n",
+    "-   [NLP From Scratch: Classifying Names with a Character-Level\n",
+    "    RNN](https://pytorch.org/tutorials/intermediate/char_rnn_classification_tutorial.html)\n",
+    "-   [NLP From Scratch: Generating Names with a Character-Level\n",
+    "    RNN](https://pytorch.org/tutorials/intermediate/char_rnn_generation_tutorial.html)\n",
+    "-   [NLP From Scratch: Translation with a Sequence to Sequence Network\n",
+    "    and\n",
+    "    Attention](https://pytorch.org/tutorials/intermediate/seq2seq_translation_tutorial.html)\n",
+    "\n",
+    "This is the third and final tutorial on doing **NLP From Scratch**,\n",
     "where we write our own classes and functions to preprocess the data to\n",
-    "do our NLP modeling tasks. We hope after you complete this tutorial that\n",
-    "you\\'ll proceed to learn how [torchtext]{.title-ref} can handle much of\n",
-    "this preprocessing for you in the three tutorials immediately following\n",
-    "this one.\n",
+    "do our NLP modeling tasks.\n",
     "\n",
     "In this project we will be teaching a neural network to translate from\n",
     "French to English.\n",
@@ -1128,7 +1135,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.10.15"
   }
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_downloads/03a48646520c277662581e858e680809/model_parallel_tutorial.ipynb

@@ -477,7 +477,7 @@
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    "pygments_lexer": "ipython3",
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+   "version": "3.10.15"
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_downloads/070179efc13bd796c5dd4af7bf52d5b9/intro.ipynb

@@ -94,7 +94,7 @@
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    "pygments_lexer": "ipython3",
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+   "version": "3.10.15"
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_downloads/09dab7b70298bcb798ab79840558b800/maskedtensor_sparsity.ipynb

@@ -581,7 +581,7 @@
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    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.10.15"
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_downloads/0aec568a42e89122e5ca293c86289287/tensorboard_profiler_tutorial.ipynb

@@ -686,7 +686,7 @@
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    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.10.15"
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_downloads/0bd6b9a8e47e1d64e4d20ef356a6095d/onnx_registry_tutorial.ipynb

@@ -628,7 +628,7 @@
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    "pygments_lexer": "ipython3",
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+   "version": "3.10.15"
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_downloads/0e6615c5a7bc71e01ff3c51217ea00da/tensorqs_tutorial.ipynb

@@ -491,7 +491,7 @@
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    "pygments_lexer": "ipython3",
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+   "version": "3.10.15"
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_downloads/11f1adacb7d237f2041ce267ac38abb6/saveloadrun_tutorial.ipynb

@@ -194,7 +194,7 @@
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    "pygments_lexer": "ipython3",
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_downloads/1342193c7104875f1847417466d1417c/ensembling.ipynb

@@ -340,7 +340,7 @@
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    "pygments_lexer": "ipython3",
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