Update README.md

README.md

@@ -1 +1,39 @@
-Tiny random Siglip model. For testing purposes only.
+Tiny random Siglip model. For testing purposes only.
+
+
+Script used to create this tiny random model:
+```python
+from transformers import AutoConfig, AutoModel
+
+config = AutoConfig.from_pretrained("HuggingFaceM4/siglip-so400m-14-384", trust_remote_code=True)
+
+config._name_or_path = 'HuggingFaceM4/tiny-random-siglip'
+
+config.text_config.hidden_size = int(config.text_config.hidden_size/8)
+config.text_config.intermediate_size = int(config.text_config.intermediate_size/8)
+config.text_config.num_attention_heads = int(config.text_config.num_attention_heads/8)
+config.text_config.num_hidden_layers = 3
+config.text_config.projection_dim = int(config.text_config.projection_dim/8)
+
+config.vision_config.hidden_size = int(config.vision_config.hidden_size/8)
+config.vision_config.image_size = 30
+config.vision_config.intermediate_size = int(config.vision_config.intermediate_size/8)
+config.vision_config.num_attention_heads = int(config.vision_config.num_attention_heads/8)
+config.vision_config.num_hidden_layers = 3
+config.vision_config.patch_size = 2
+config.vision_config.projection_dim = int(config.vision_config.projection_dim/8)
+
+config.auto_map = {
+    "AutoConfig": "HuggingFaceM4/tiny-random-siglip--configuration_siglip.SiglipConfig",
+    "AutoModel": "HuggingFaceM4/tiny-random-siglip--modeling_siglip.SiglipModel"
+}
+
+config.save_pretrained("./tiny-random-siglip")
+
+model = AutoModel.from_pretrained("HuggingFaceM4/siglip-so400m-14-384", trust_remote_code=True)
+
+SiglipModel = model.__class__
+
+new_model = SiglipModel(config)
+new_model.save_pretrained("./tiny-random-siglip")
+```