Upgrade PyTorch dependencies to latest

In preparation for an 8.0 release, this updates PyTorch NLP dependencies
to more recent and latest minor versions. Amongst other things, this
introduces a fix from transformers that is helpful for text embedding
tasks with certain DPR models.

See: huggingface/transformers#13670

Co-authored-by: Seth Michael Larson <seth.larson@elastic.co>

requirements-dev.txt

@@ -11,7 +11,6 @@ nox
 lightgbm
 pytest-cov
 mypy
-huggingface-hub>=0.0.17
-sentence-transformers>=2.0.0
+sentence-transformers>=2.1.0
 torch>=1.9.0
-transformers[torch]>=4.11.0
+transformers[torch]>=4.12.0

setup.py

@@ -59,10 +59,9 @@
     "scikit-learn": ["scikit-learn>=0.22.1,<1"],
     "lightgbm": ["lightgbm>=2,<4"],
     "pytorch": [
-        "huggingface-hub>=0.0.17,<1",
-        "sentence-transformers>=2.0.0,<3",
+        "sentence-transformers>=2.1.0,<3",
         "torch>=1.9.0,<2",
-        "transformers[torch]>=4.11.0<5",
+        "transformers[torch]>=4.12.0,<5",
     ],
 }
 extras["all"] = list({dep for deps in extras.values() for dep in deps})