Instructions to use zeromodels/deberta_v3_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/deberta_v3_base with ZeroModels:
# pip install -U zeromodels # ZeroModels is pure Keras 3, so pick a backend: "jax", "torch" or "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" from zeromodels import AutoZModel # AutoZModel reads the repo's model_type and loads the matching class. # For a task head use the matching loader, e.g. AutoZMImageClassify / AutoZMDetect / # AutoZMSemanticSegment / AutoZMTextGenerate (see zeromodels.auto). model = AutoZModel.from_weights("zeromodels/deberta_v3_base") - Keras
How to use zeromodels/deberta_v3_base with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://zeromodels/deberta_v3_base") - Notebooks
- Google Colab
- Kaggle
Upgrade kf_config.json to v2 (nested config + weight_dtype)
Browse files- kf_config.json +23 -19
kf_config.json
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{
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"library_name": "kerasformers",
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"kerasformers_version": "1.
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"model_module": "kerasformers.models.deberta_v3",
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"model_class": "DebertaV3Model",
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"variant": "deberta_v3_base",
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"weights": "model.weights.h5",
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"model_type": "deberta_v3",
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}
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{
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"library_name": "kerasformers",
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"kerasformers_version": "1.2.1",
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"model_module": "kerasformers.models.deberta_v3",
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"model_class": "DebertaV3Model",
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"variant": "deberta_v3_base",
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"weights": "model.weights.h5",
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"schema_version": 2,
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"weight_dtype": "float32",
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"model_type": "deberta_v3",
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"text_config": {
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"vocab_size": 128100,
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"embed_dim": 768,
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"num_layers": 12,
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"num_heads": 12,
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"mlp_dim": 3072,
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"max_position_embeddings": 512,
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"max_relative_positions": 512,
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"position_buckets": 256,
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"pos_att_type": [
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"p2c",
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"c2p"
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],
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"norm_rel_ebd": true,
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"conv_kernel_size": 0,
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"conv_act": "gelu",
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"hidden_act": "gelu",
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"layer_norm_eps": 1e-07,
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"pad_token_id": 0
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}
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}
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