[LAB 04 · CLIP：候选、提示与关系检验](/course/notebooks/0ba963931ddf4866b507b210d93a43bf.html)

# 本地保存输出（非 Deepnote 云端运行）
[独立阅读](/course/notebook-blocks/fe26b27f069b4605aa4f794f6c8b4fcc.html)
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"
}

```