Instructions to use zeromodels/whisper_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/whisper_tiny 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/whisper_tiny") - Keras
How to use zeromodels/whisper_tiny 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/whisper_tiny") - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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---
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pipeline_tag: automatic-speech-recognition
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license: apache-2.0
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library_name: kerasformers
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tags:
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---
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pipeline_tag: automatic-speech-recognition
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license: apache-2.0
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library_name: kerasformers
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tags:
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- keras
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- kerasformers
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- whisper
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- tensorflow
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- jax
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- pytorch
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---
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# whisper_tiny (Keras 3)
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Pure-Keras 3 weights for [kerasformers](https://github.com/IMvision12/KerasFormers), mirrored from the GitHub release. License: `apache-2.0`.
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```python
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from kerasformers.models.whisper import WhisperSpeechToText, WhisperProcessor
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model = WhisperSpeechToText.from_weights("whisper_tiny")
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processor = WhisperProcessor.from_weights("whisper_tiny")
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```
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