Image-Text-to-Text
KerasFormers
Keras
PyTorch
JAX
TensorFlow
English
gemma3n
gemma-3n
audio-text-to-text
multimodal
Instructions to use kerasformers/gemma-3n-e2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/gemma-3n-e2b 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 kerasformers/gemma-3n-e2b with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kerasformers/gemma-3n-e2b") - Notebooks
- Google Colab
- Kaggle
Re-convert with vision tower (fix blank-image loading)
Browse files- kf_config.json +9 -1
- model.weights.json +179 -179
- model_00001.weights.h5 +2 -2
- model_00002.weights.h5 +3 -0
kf_config.json
CHANGED
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@@ -4,7 +4,7 @@
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"model_module": "kerasformers.models.gemma3n",
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"model_class": "Gemma3nForConditionalGeneration",
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"variant": "gemma-3n-e2b",
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"weights": "model.weights.
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"schema_version": 2,
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"weight_dtype": "bfloat16",
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"model_type": "gemma3n",
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0.0
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]
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},
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"audio_config": {
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"vocab_size": 128,
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"vocab_offset": 262272,
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"model_module": "kerasformers.models.gemma3n",
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"model_class": "Gemma3nForConditionalGeneration",
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"variant": "gemma-3n-e2b",
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+
"weights": "model.weights.h5",
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"schema_version": 2,
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"weight_dtype": "bfloat16",
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"model_type": "gemma3n",
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0.0
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]
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},
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+
"vision_config": {
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"architecture": "mobilenetv5_300m_enc",
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"hidden_size": 2048,
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"vocab_size": 128,
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"vocab_offset": 262144,
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+
"rms_norm_eps": 1e-06,
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"do_pooling": false
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},
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"audio_config": {
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"vocab_size": 128,
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"vocab_offset": 262272,
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model.weights.json
CHANGED
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_2/norm/vars": "model_00001.weights.h5",
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_3/layer_scale/vars": "model_00001.weights.h5",
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_3/pw_exp/bn/vars": "model_00001.weights.h5",
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_3/pw_exp/conv/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_3/attn/key_proj/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_3/attn/output_proj/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_3/attn/value_proj/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_3/layer_scale/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_3/norm/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_4/layer_scale/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_4/pw_exp/bn/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_4/pw_exp/conv/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_4/attn/key_proj/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_4/attn/query_proj/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_4/layer_scale/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_4/norm/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_5/layer_scale/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_5/pw_exp/bn/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_5/pw_exp/conv/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_5/layer_scale/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_5/norm/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_6/attn/key_proj/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_7/pw_exp/conv/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_7/norm/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_8/layer_scale/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_8/pw_exp/bn/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_8/pw_exp/conv/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_8/pw_proj/bn/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_8/attn/output_proj/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_8/attn/query_proj/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_8/attn/value_proj/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_8/layer_scale/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_10/attn/value_proj/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_10/layer_scale/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_10/norm/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_11/layer_scale/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_11/pw_exp/bn/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_11/pw_exp/conv/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_11/pw_proj/bn/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_11/pw_proj/conv/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_11/attn/key_proj/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_12/attn/query_proj/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_13/layer_scale/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_13/pw_exp/conv/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_13/attn/output_proj/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_13/attn/query_proj/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_13/layer_scale/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_13/norm/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_14/pw_exp/conv/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_14/attn/query_proj/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_14/layer_scale/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_14/norm/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_15/layer_scale/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_15/pw_exp/bn/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_15/pw_exp/conv/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/universal_inverted_residual_15/pw_proj/bn/vars": "
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"/layers/mobile_net_v5_encoder/stages/container_3/mobile_attention_15/attn/key_proj/vars": "
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