)]}'
{
  "commit": "d12291f7fb615200a2a98c8f9ca45af5dde52684",
  "tree": "15f6e9680e0ef56babcc65546dd41d93bb667865",
  "parents": [
    "36b3ce1fc5c534339643cdda6ace759fda0e0fa6"
  ],
  "author": {
    "name": "Scott Todd",
    "email": "scott.todd0@gmail.com",
    "time": "Mon Apr 22 14:40:50 2024 -0700"
  },
  "committer": {
    "name": "GitHub",
    "email": "noreply@github.com",
    "time": "Mon Apr 22 14:40:50 2024 -0700"
  },
  "message": "Add Colab notebook showing Hugging Face import via Turbine. (#17093)\n\nThis shows a minimal import from Hugging Face using the style of code\r\nfrom\r\nhttps://github.com/nod-ai/SHARK-TestSuite/tree/main/e2eshark/pytorch/models.\r\nI\u0027d like to expand on this with other advanced export APIs (e.g. using\r\nparameter files like Safetensors/GGUF/IRPA, Turbine-LLM, and custom\r\nkernels), but figured I\u0027d start with something fairly well tested and\r\nsimple.\r\n\r\nThe test case I forked from also used a text prompt for an audio -\u003e text\r\nmodel, so this just shows some numbers as output... I\u0027d like to show\r\ntext or images as output, though that needs some interfacing\r\n(WhisperProcessor wraps WhisperFeatureExtractor and WhisperTokenizer,\r\nfor example).",
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