Instructions to use zeromodels/deberta_v3_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/deberta_v3_large 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/deberta_v3_large 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/deberta_v3_large") - 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_large",
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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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}
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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_large",
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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": 1024,
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"num_layers": 24,
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"num_heads": 16,
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"mlp_dim": 4096,
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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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