feat(ml): export clip models to ONNX and host models on Hugging Face (#4700)

* export clip models

* export to hf

refactored export code

* export mclip, general refactoring

cleanup

* updated conda deps

* do transforms with pillow and numpy, add tokenization config to export, general refactoring

* moved conda dockerfile, re-added poetry

* minor fixes

* updated link

* updated tests

* removed `requirements.txt` from workflow

* fixed mimalloc path

* removed torchvision

* cleaner np typing

* review suggestions

* update default model name

* update test

machine-learning/export/env.yaml

@@ -0,0 +1,25 @@
+name: base
+channels:
+  - conda-forge
+  - nvidia
+  - pytorch-nightly
+platforms:
+  - linux-64
+dependencies:
+  - cxx-compiler
+  - onnx==1.*
+  - onnxruntime==1.*
+  - open-clip-torch==2.*
+  - orjson==3.*
+  - pip
+  - python==3.11.*
+  - pytorch
+  - rich==13.*
+  - safetensors==0.*
+  - setuptools==68.*
+  - torchvision
+  - transformers==4.*
+  - pip:
+    - multilingual-clip
+    - onnx-simplifier
+category: main