chore: import upstream snapshot with attribution

.github/conda/build.sh

@@ -0,0 +1 @@
+$PYTHON setup.py install     # Python command to install the script.

.github/conda/meta.yaml

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+{% set name = "transformers" %}
+
+package:
+  name: "{{ name|lower }}"
+  version: "{{ TRANSFORMERS_VERSION }}"
+
+source:
+  path: ../../
+
+build:
+  noarch: python
+
+requirements:
+  host:
+    - python
+    - pip
+    - numpy >=1.17
+    - dataclasses
+    - huggingface_hub
+    - packaging
+    - filelock
+    - tqdm >=4.60
+    - sacremoses
+    - regex !=2019.12.17
+    - protobuf
+    - tokenizers >=0.11.1,!=0.11.3,<0.13
+    - pyyaml >=5.1
+    - safetensors
+    - fsspec
+  run:
+    - python
+    - numpy >=1.17
+    - dataclasses
+    - huggingface_hub
+    - packaging
+    - filelock
+    - tqdm >=4.60
+    - sacremoses
+    - regex !=2019.12.17
+    - protobuf
+    - tokenizers >=0.11.1,!=0.11.3,<0.13
+    - pyyaml >=5.1
+    - safetensors
+    - fsspec
+
+test:
+  imports:
+    - transformers
+
+about:
+  home: https://huggingface.co
+  license: Apache License 2.0
+  license_file: LICENSE
+  summary: "🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0."