Instructions to use Nestifytech/IBM_FM1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Nestifytech/IBM_FM1 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://Nestifytech/IBM_FM1") - Notebooks
- Google Colab
- Kaggle
Upload ibm_fm_model_weights.weights.h5 with huggingface_hub
Browse files
ibm_fm_model_weights.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:660dd05707377d7990482272ce0994e1337580de215ef2bffa8dcfad66b66ead
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size 111760
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