Instructions to use zeromodels/grounding_dino_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/grounding_dino_tiny with KerasFormers:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Keras
How to use zeromodels/grounding_dino_tiny with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/grounding_dino_tiny") - Notebooks
- Google Colab
- Kaggle
File size: 1,369 Bytes
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"library_name": "kerasformers",
"kerasformers_version": "1.2.1",
"model_module": "kerasformers.models.grounding_dino",
"model_class": "GroundingDinoDetect",
"variant": "grounding_dino_tiny",
"weights": "model.weights.h5",
"schema_version": 2,
"weight_dtype": "float32",
"model_type": "grounding-dino",
"vision_config": {
"d_model": 256,
"encoder_layers": 6,
"encoder_ffn_dim": 2048,
"encoder_attention_heads": 8,
"decoder_layers": 6,
"decoder_ffn_dim": 2048,
"decoder_attention_heads": 8,
"num_queries": 900,
"num_feature_levels": 4,
"encoder_n_points": 4,
"decoder_n_points": 4,
"max_text_len": 256,
"query_dim": 4,
"two_stage": true,
"positional_embedding_temperature": 20.0,
"layer_norm_eps": 1e-05,
"activation_function": "relu",
"backbone_embed_dim": 96,
"backbone_depths": [
2,
2,
6,
2
],
"backbone_num_heads": [
3,
6,
12,
24
],
"backbone_window_size": 7,
"backbone_out_indices": [
2,
3,
4
],
"text_vocab_size": 30522,
"text_hidden_size": 768,
"text_num_layers": 12,
"text_num_heads": 12,
"text_intermediate_size": 3072,
"text_max_position_embeddings": 512,
"text_layer_norm_eps": 1e-12
}
} |