Automatic Speech Recognition
KerasFormers
Keras
PyTorch
JAX
TensorFlow
granite-speech-plus
speech-llm
audio
Instructions to use zeromodels/granite_speech_4_1_2b_plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/granite_speech_4_1_2b_plus 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/granite_speech_4_1_2b_plus 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/granite_speech_4_1_2b_plus") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 541f31122e8a39c152e32a871e4178e2497990f15146f283a0c13cb82c5979c2
- Size of remote file:
- 4.23 GB
- SHA256:
- 82406ce08741d18c56d91d1939d30a71aa44a712037277b9b950ae525ce8d458
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.