Instructions to use thamaine/distilbert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use thamaine/distilbert-base-cased with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://thamaine/distilbert-base-cased") - Notebooks
- Google Colab
- Kaggle
Add model
Browse files- .gitattributes +3 -0
- README.md +37 -0
- keras_metadata.pb +3 -0
- model.png +3 -0
- saved_model.pb +3 -0
- variables/variables.data-00000-of-00001 +3 -0
- variables/variables.index +3 -0
.gitattributes
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README.md
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---
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library_name: keras
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---
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'Adam', 'learning_rate': 0.01, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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- training_precision: mixed_float16
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## Training Metrics
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| Epochs | Train Loss | Validation Loss |
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|--- |--- |--- |
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| 1| 5.965| 5.951|
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## Model Plot
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<details>
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<summary>View Model Plot</summary>
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</details>
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keras_metadata.pb
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version https://git-lfs.github.com/spec/v1
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size 71209
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model.png
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Git LFS Details
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saved_model.pb
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variables/variables.data-00000-of-00001
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version https://git-lfs.github.com/spec/v1
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variables/variables.index
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