Instructions to use OpenLab-NLP/Experiments-and-others with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use OpenLab-NLP/Experiments-and-others 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://OpenLab-NLP/Experiments-and-others") - Notebooks
- Google Colab
- Kaggle
Download intent_classifier.weights.h5 from OpenLab-NLP/Experiments-and-others: direct link, hf CLI and curl.
- Browser
- Download file 38.6 MB
-
https://huggingface.co/OpenLab-NLP/Experiments-and-others/resolve/main/intent_classifier.weights.h5
- Command line
-
hf download hf://OpenLab-NLP/Experiments-and-others/intent_classifier.weights.h5
-
curl -L -o intent_classifier.weights.h5 https://huggingface.co/OpenLab-NLP/Experiments-and-others/resolve/main/intent_classifier.weights.h5
38.6 MB
- Xet hash:
- b9500e3688110a375a5419b875199ed01275163bc10742c4d09d4ced41278eaf
- Size of remote file:
- 38.6 MB
- SHA256:
- 0016f4bc95dca573ae199902ab9383cb2e593ce5a0491cdd742da07f2dbfe898
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