Lecture 03本地保存输出(非 Deepnote 云端运行)
本地保存输出(非 Deepnote 云端运行)
主线阅读与优先实验
真实CLIP输入/权重/分数、候选改动、四条件规则与独立关系推理
本地保存输出(非 Deepnote 云端运行)
Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.
{
"scope": "preprocessing only, no weights loaded",
"pixel_shape": [
1,
3,
224,
224
],
"pixel_sha256": "59ba65f37c29915984addd8e4d8856f9c1579c284af0ef0260bc4f25eadbbab9",
"prompt_count": 8,
"tokenizer": "CLIPTokenizerFast",
"image_processor": "CLIPImageProcessor",
"transformers": "4.57.1",
"image_sha256": "596aa1e7cb875eb79f437e310381d26b338a81c2da23439704a73c4651e8c4bb",
"revision": "3d74acf9a28c67741b2f4f2ea7635f0aaf6f0268",
"legacy_default_pixel_max_abs_difference": 0.0,
"all_prompt_token_tensors_equal": true,
"token_ids_sha256": "b51f79cb2f07674c29ec6589bd5bc2f1537e340cfc6c78f567d3d09481d2a902"
}